integrated_datasets/apc_datasets/121.MOOC_En/mooc-en.test.txt

I found this $T$ less well prepared than the previous 3 modules. Misleading hints in the assignments, code errors, etc... Also, I found the amount of work required higher, which is not in itself a bad thing, just a bit unexpected. 
Course
Negative
I found this Course less well prepared than the previous 3 modules. Misleading hints in the $T$, code errors, etc... Also, I found the amount of work required higher, which is not in itself a bad thing, just a bit unexpected. 
assignments
Negative
not bad... theres a big mistake in the regex video. $T$ don' t really match the lectures. Without Corey Schafer and Sentdex on youtube I would' ve quit.
assignments
Negative
not bad..theres a big mistake in the regex video. assignments don' t really match the $T$. Without Corey Schafer and Sentdex on youtube I would' ve quit.
lectures
Negative
I am an engineer and I use matlab and stata for data analysis and currently taking Machine Learning course by Stanford which is fabulous. I did not like this $T$ for the following reasons: 1- bad course design structure2- so confusing and inappropriate sequence
course
Negative
I am an engineer and I use matlab and stata for data analysis and currently taking Machine Learning course by Stanford which is fabulous. I did not like this course for the following reasons: 1- bad course $T$- so confusing and inappropriate sequence
design structure2
Negative
I am an engineer and I use matlab and stata for data analysis and currently taking Machine Learning course by Stanford which is fabulous. I did not like this course for the following reasons: 1- bad course design structure2- so confusing and inappropriate $T$
sequence
Negative
$T$ are brief, shallow and too compressedGrader is buggyGenerally course is bad. I spent more time in Stackoverflow than here to find answers
Lectures
Negative
Lectures are brief, shallow and too $T$ is buggyGenerally course is bad. I spent more time in Stackoverflow than here to find answers
compressedGrader
Negative
Lectures are brief, shallow and too compressedGrader is buggyGenerally $T$ is bad. I spent more time in Stackoverflow than here to find answers
course
Negative
Very good $T$, with good difficulty, tools and materialsBut there is some problems with assestments as old autograder' s version and bad formulating of tasks, but instructors in forums are great( responded me in a hour or less) I hightly recommend this course
course
Positive
Very good course, with good difficulty, tools and materialsBut there is some problems with assestments as old autograder' s version and bad formulating of tasks, but $T$ in forums are great( responded me in a hour or less) I hightly recommend this course
instructors
Positive
Very good course, with good difficulty, tools and materialsBut there is some problems with assestments as old autograder' s version and bad formulating of tasks, but instructors in $T$ are great( responded me in a hour or less) I hightly recommend this course
forums
Positive
The $T$ is not bad for the start, but I' m a little bit confused because of difference between lectures and assignments' tasks. 
course
Neutral
Interesting $T$ but definitely not the best video lectures- very short and not enough explanation, can as well read a documentation on my own. Overall is not a bad course, but either change the name from' Introduction' to' Intermediate'- ish or create a more comprehensive set of lectures. Thanks!
assignments
Positive
Interesting assignments but definitely not the best $T$- very short and not enough explanation, can as well read a documentation on my own. Overall is not a bad course, but either change the name from' Introduction' to' Intermediate'- ish or create a more comprehensive set of lectures. Thanks!
video lectures
Negative
The $T$ itself is not so bad. But tasks are frustrating! Solving them gives some value but they are mixed with tons of meaningless problems. Some tasks are not clear and autograder gives little information. But I need to say that I learnt more about Python and Pandas library. 
course
Negative
The course itself is not so bad. But $T$ are frustrating! Solving them gives some value but they are mixed with tons of meaningless problems. Some tasks are not clear and autograder gives little information. But I need to say that I learnt more about Python and Pandas library. 
tasks
Negative
The course itself is not so bad. But tasks are frustrating! Solving them gives some value but they are mixed with tons of meaningless problems. Some tasks are not clear and $T$ gives little information. But I need to say that I learnt more about Python and Pandas library. 
autograder
Negative
Quite bad knowledge delivery from $T$. The course is rather self learning than course. A lot of vague points and uncertainties in assignments. 
lectures
Negative
Quite bad knowledge delivery from lectures. The $T$ is rather self learning than course. A lot of vague points and uncertainties in assignments. 
course
Negative
Quite bad knowledge delivery from lectures. The course is rather self learning than course. A lot of vague points and uncertainties in $T$. 
assignments
Negative
$T$ were ok but the assignments were really frustrating, not because of the questions itself but because the questions were organised badly or were really vague and confusing. 
Lessons
Neutral
Lessons were ok but the $T$ were really frustrating, not because of the questions itself but because the questions were organised badly or were really vague and confusing. 
assignments
Negative
Lessons were ok but the assignments were really frustrating, not because of the questions itself but because the $T$ were organised badly or were really vague and confusing. 
questions
Negative
Not a bad $T$ if the student is brand new to data science/ computer science/ programming. I felt I could have easiliy skipped this excepting that accounts needed to be set out for other course dependencies.
course
Neutral
While the $T$ offers a good introduction to open source tools, this course and the whole specialization track is available for free on cognitive class.. And the badge issued by cognitive class doesn' t say powered by coursera. So 2 stars for charging money for a free course
course
Positive
While the course offers a good introduction to open source $T$, this course and the whole specialization track is available for free on cognitive class.. And the badge issued by cognitive class doesn' t say powered by coursera. So 2 stars for charging money for a free course
tools
Positive
While the course offers a good introduction to open source tools, this course and the whole specialization track is available for free on cognitive class.. And the badge issued by cognitive class doesn' t say powered by coursera. So 2 stars for $T$ money for a free course
charging
Negative
A very bad $T$!!! Extremely disappointed by this course. It was meant to be for beginners, but the explanation was not understandable for beginners. Even the videos were very short and didn' t explain some of the very basic parts. Worst experience I every had with any of the coursera courses.
course
Negative
A very bad course!!! Extremely disappointed by this course. It was meant to be for beginners, but the explanation was not understandable for beginners. Even the $T$ were very short and didn' t explain some of the very basic parts. Worst experience I every had with any of the coursera courses.
videos
Negative
A very bad course!!! Extremely disappointed by this course. It was meant to be for beginners, but the explanation was not understandable for beginners. Even the videos were very short and didn' t explain some of the very basic parts. Worst experience I every had with any of the $T$ courses.
coursera
Negative
Really bad and useless $T$. At this point I know nothing about data( it' s only the 2nd course in the specialization), so how can I understand anything about the tools and their advantages, given I still don' t know what the challenges are?
course
Negative
Really bad and useless course. At this point I know nothing about data( it' s only the 2nd $T$ in the specialization), so how can I understand anything about the tools and their advantages, given I still don' t know what the challenges are?
course
Negative
The Watson Studio $T$ is out of date and the product itself is nothing but frustrating. A bad experience. 
tutorial
Negative
The Watson Studio tutorial is out of date and the $T$ itself is nothing but frustrating. A bad experience. 
product
Negative
This $T$ is terrible. The general questions are bad and check video recall over understanding, which doesn' t aid in the end assignment, that is ridiculous and open ended. 
course
Negative
This course is terrible. The general questions are bad and check video recall over understanding, which doesn' t aid in the end $T$, that is ridiculous and open ended. 
assignment
Negative
Sometimes methodology can get verbose and abstract, but this $T$ was quite good. The outline of topics and methodologies could have been a little tighter. The English is not so good and there are lots of spelling and grammar errors. There are also bad links for things like images. 
content
Positive
Sometimes methodology can get verbose and abstract, but this content was quite good. The outline of topics and methodologies could have been a little tighter. The English is not so good and there are lots of spelling and grammar $T$. There are also bad links for things like images. 
errors
Negative
Too theoretical and the medical example was such a bad, hard to follow one for the $T$! It could be content for one week instead of making it to a full- length 3- week session.
course
Negative
Too theoretical and the medical example was such a bad, hard to follow one for the course! It could be $T$ for one week instead of making it to a full- length 3- week session.
content
Negative
Terrible $T$. The slides have a very poor quality, explanations are extremely boring and monotonous. The lab is not bad per se, but you can' t expect to drop lines of code without explanation and hope that people learn. I' m sorry but this course was disappointing. 
course
Negative
Terrible course. The $T$ have a very poor quality, explanations are extremely boring and monotonous. The lab is not bad per se, but you can' t expect to drop lines of code without explanation and hope that people learn. I' m sorry but this course was disappointing. 
slides
Negative
Terrible course. The slides have a very poor quality, $T$ are extremely boring and monotonous. The lab is not bad per se, but you can' t expect to drop lines of code without explanation and hope that people learn. I' m sorry but this course was disappointing. 
explanations
Negative
Terrible course. The slides have a very poor quality, explanations are extremely boring and monotonous. The lab is not bad per se, but you can' t expect to drop lines of $T$ without explanation and hope that people learn. I' m sorry but this course was disappointing. 
code
Negative
The $T$ is really theoretical, it uses really bad and iterative examples that does not help to understand the processes and the case studies use really complex code that it is imposible to understand unless you already know coding. 
course
Negative
The course is really theoretical, it uses really bad and iterative $T$ that does not help to understand the processes and the case studies use really complex code that it is imposible to understand unless you already know coding. 
examples
Negative
The course is really theoretical, it uses really bad and iterative examples that does not help to understand the processes and the case studies use really $T$ that it is imposible to understand unless you already know coding. 
complex code
Negative
Honestly this $T$ isnt very good. Lightning quick wizz through Python and the final test was barely related to the learning materials. The process of test submission is very poor. I think this course overall reflects badly on IBM.
course
Negative
Honestly this course isnt very good. Lightning quick wizz through Python and the final test was barely related to the $T$. The process of test submission is very poor. I think this course overall reflects badly on IBM.
learning materials
Negative
Honestly this course isnt very good. Lightning quick wizz through Python and the final test was barely related to the learning materials. The process of test submission is very poor. I think this course overall reflects badly on $T$.
IBM
Negative
Really dry, and the external $T$ they want to use gave me a" 502 Bad Gateway" response. So I guess I' m not completing this course. 
tool
Negative
Not a bad $T$. Not real intense. Sometimes instructions are hard to follow but good for a casual learner. 
course
Neutral
This is a solid $T$ for beginners in programming. However the course was the fourth course in the IBM Data Science Professional Certificate. The Certificate is addressed to people far from the beginner level. Bad curation of the courses
course
Positive
This is a solid course for beginners in programming. However the course was the fourth course in the IBM Data Science Professional Certificate. The Certificate is addressed to people far from the beginner level. Bad $T$ of the courses
curation
Negative
$T$ have really bad programming knowledge. ` File. append()` called" attribute, `\ n ` called" Python command", some variables named as ` FileContent`. I really hope all Data Science related courses on this track have better quality. Total disappointment so far
authors
Negative
authors have really bad programming $T$. ` File. append()` called" attribute, `\ n ` called" Python command", some variables named as ` FileContent`. I really hope all Data Science related courses on this track have better quality. Total disappointment so far
knowledge
Negative
Badly outdated and full of confusing typos, lazy display production, and useless $T$. Luckily, I already knew all of this stuff before starting the course. 
quizzes
Negative
Badly outdated and full of confusing typos, lazy display production, and useless quizzes. Luckily, I already knew all of this stuff before starting the $T$. 
course
Negative
The final $T$ has totally incomplete information and I wasted a lot of my time figuring out things like data set, dashboard etc which are the details usually well defined in other courses. Really a bad assignment formation. Needs fixing for sure
assignment
Negative
If you have a programming background( I have) then this $T$ really simple. Some might say too simple, but for me it was useful to' get back into the game'. Also, simple isn' t necessarily a bad thing. I understood everything, and enjoyed it. 
course
Neutral
AMAZING $T$! For me as aa biologist who was always frightened by programming, it worked perfectly well. Thank you for all the" python doesn' t mean you are a bad person". It kept me motivated and helped me to believe that I can do coding.
COURSE
Positive
Dr Severance is really an amazing $T$- he conveys rather complicated information in an easy to digest format. Also, what a bad ass for dedicating so much of his personal time for a free class. So very much appreciated. 
teacher
Positive
Dr Severance is really an amazing teacher- he conveys rather complicated $T$ in an easy to digest format. Also, what a bad ass for dedicating so much of his personal time for a free class. So very much appreciated. 
information
Positive
That was a great $T$. I thank Coursera for approving my financial aid. I might not express my feelings because of my bad english but I am truly thankful to Coursera and the University of Michigan. 
course
Positive
That was a great course. I thank $T$ for approving my financial aid. I might not express my feelings because of my bad english but I am truly thankful to Coursera and the University of Michigan. 
Coursera
Positive
Enjoyed the $T$ especially since Dr. Severance is the best teacher I' ve had in a very long time. Too bad he was not teaching when I was in college I would have transferred to Univ of Michigan.
class
Positive
Enjoyed the class especially since Dr. Severance is the best $T$ I' ve had in a very long time. Too bad he was not teaching when I was in college I would have transferred to Univ of Michigan.
teacher
Positive
This $T$ is so clearly to teach us what is the language of computer and how we to understand the meaning when an error or some bad things happened. I love Chuck. 
course
Positive
This $T$ is really helpful! I' m really bad at computer before. But I' ve learned a lot about programming from this course and I kinda like programming now. 
course
Positive
Great $T$ for beginners. The professor doesn' t make you feel bad for not knowing things and eases you into programming. 
course
Positive
Great course for beginners. The $T$ doesn' t make you feel bad for not knowing things and eases you into programming. 
professor
Positive
It was so much funBut i have a very bad review on $T$ because its so hard to figure it out what that tool says
Assignments
Negative
Not as good as the first two courses. The regular expressions section was great but the rest of the sections had $T$ that were bad. I' m talking wrong starter code was posted, or just really easy assignments that required changing one line. Don' t pay for this course. 
assignments
Negative
Not as good as the first two courses. The regular expressions section was great but the rest of the sections had assignments that were bad. I' m talking wrong starter code was posted, or just really easy assignments that required changing one line. Don' t $T$ for this course. 
pay
Negative
A great introduction to Python. Although this truly is a" crash $T$": you may require self- learning to get through all the material- not that that' s a bad thing, really:). 
course
Positive
Love the $T$' s way of explaining. The course that seemed intimidating was not as bad at all with awesome assignments and instruction. Thank you Coursera. 
instructor
Positive
Love the instructor' s way of explaining. The $T$ that seemed intimidating was not as bad at all with awesome assignments and instruction. Thank you Coursera. 
course
Positive
Love the instructor' s way of explaining. The course that seemed intimidating was not as bad at all with awesome $T$ and instruction. Thank you Coursera. 
assignments
Positive
Love the instructor' s way of explaining. The course that seemed intimidating was not as bad at all with awesome assignments and $T$. Thank you Coursera. 
instruction
Positive
Love the instructor' s way of explaining. The course that seemed intimidating was not as bad at all with awesome assignments and instruction. Thank you $T$. 
Coursera
Positive
Not a bad intro to Python. The only thing I would change is to maybe start the notebooks work earlier. The fill in the blanks $T$ early on is a bit clunky. 
interface
Neutral
the only bad side of this course is that the $T$ seems like a really difficult task. it' s so hard to fully understand what was happening
final project
Negative
The course is good, I like it. But, the $T$ is designed badly. How should I know that I should put a dictionary to an unknown function? 
final task
Negative
The good: Covers $T$, doesn' t require live help to answer questions, many resources available for help and testing, was able to finish lateThe bad: Terse, impenetrable wording of questions and problems, bad subtitles requiring me to go back and listen, Coursera' s toolbar structure and mid- video question interface are awful
basics
Positive
The good: Covers basics, doesn' t require live help to answer questions, many $T$ available for help and testing, was able to finish lateThe bad: Terse, impenetrable wording of questions and problems, bad subtitles requiring me to go back and listen, Coursera' s toolbar structure and mid- video question interface are awful
resources
Positive
The good: Covers basics, doesn' t require live help to answer questions, many resources available for help and testing, was able to finish lateThe bad: Terse, impenetrable wording of questions and $T$, bad subtitles requiring me to go back and listen, Coursera' s toolbar structure and mid- video question interface are awful
problems
Negative
The good: Covers basics, doesn' t require live help to answer questions, many resources available for help and testing, was able to finish lateThe bad: Terse, impenetrable wording of questions and problems, bad subtitles requiring me to go back and listen, Coursera' s toolbar structure and mid- video question $T$ are awful
interface
Negative
Solutions are buggy. $T$ do not provide a solution. Hard to learn if there are no solutions. The first two weeks of the first course is pretty bad. I would recommend Google' s Professional Certification in Data Analytics instead. 
Quizzes
Negative
Solutions are buggy. Quizzes do not provide a solution. Hard to learn if there are no solutions. The first two weeks of the first $T$ is pretty bad. I would recommend Google' s Professional Certification in Data Analytics instead. 
course
Negative
Course teaches bad $T$, such as naming variables dZ and b. Also it is little outdated- neural networks are not written in numpy anymore. 
programming practices
Negative
I really like this $T$, I just have a complain, because, sometimes the notes after some video was really bad, because I can' t understand more easily the topic during the video, If you can edite these videos and put some box during the video it will be very helpful. 
course
Positive
I really like this course, I just have a complain, because, sometimes the notes after some $T$ was really bad, because I can' t understand more easily the topic during the video, If you can edite these videos and put some box during the video it will be very helpful. 
video
Negative
It' s a good $T$. The automated videos voice can be a little monotonous but not as bad as some professors I had in college. The lectures are well structured. 
introduction
Positive
It' s a good introduction. The automated videos voice can be a little monotonous but not as bad as some professors I had in college. The $T$ are well structured. 
lectures
Positive
It' s a good introduction. The automated videos voice can be a little monotonous but not as bad as some professors I had in college. The lectures are well $T$. 
structured
Positive
informative and detailed. explained simply and efficiently by the $T$. for someone with bad learning difficulties it was easy to follow and understand
lecturer
Positive
It' s a very good $T$ for beginners. If you already hace R and gihub it may be a little boring, but remembering the basics is never a bad idea. 
course
Positive
Not bad to start off with! It teaches $T$ of all the required things for starting off R( e. g. RStudio, GitHub), and gives a basic understanding of experimental design too. 
installation
Positive
This was a very professionally done $T$. It is* very* introductory, which is either good or bad, depending on how you feel about it. 
course
Positive
 Not a bad intro; I don' t know if anyone would benefit taking this as a standalone( or for an entire 4 weeks, for that matter). Still, it introduced some solid $T$ for professionals and scholars, alike.
concepts
Positive
Super basic, each week was only about 30 minutes of video $T$... but I think that was their goal? Bad form on coursera for making you pay to submit assignments that are autograded to begin with. 
lecture
Negative
Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on $T$ for making you pay to submit assignments that are autograded to begin with. 
coursera
Negative
Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on coursera for making you pay to submit $T$ that are autograded to begin with. 
assignments
Negative
Super basic, each week was only about 30 minutes of video lecture... but I think that was their goal? Bad form on coursera for making you pay to submit assignments that are $T$ to begin with. 
autograded
Negative
There just wasn' t much to this $T$. It' s not bad information, but it could have been done in one week. 
class
Negative
most part of this $T$ is a duplicate of the" R programming" course. microphone/ sound of the teacher quality is very bad. not original, boring, dividing this in" 4 weeks" is too ridiculously long, this should be done in 1 week to enable users to take more time for the" R programming".
course
Negative
most part of this course is a duplicate of the" R programming" course. microphone/ $T$ of the teacher quality is very bad. not original, boring, dividing this in" 4 weeks" is too ridiculously long, this should be done in 1 week to enable users to take more time for the" R programming".
sound
Negative
I had a very bad experience with this whole $T$ set- up. Especially the peer- grading, you have no insight on why they assigned this score to you- nothing.. .. especially when you know you did your course work correctly.. i will never come back to coursera.. waste of money!!! 
course
Negative
I had a very bad experience with this whole course set- up. Especially the peer- $T$, you have no insight on why they assigned this score to you- nothing.. .. especially when you know you did your course work correctly.. i will never come back to coursera.. waste of money!!! 
grading
Negative
I had a very bad experience with this whole course set- up. Especially the peer- grading, you have no insight on why they assigned this score to you- nothing.. .. especially when you know you did your course work correctly.. i will never come back to $T$.. waste of money!!! 
coursera
Negative
 Very bad $T$ so far. Very little detail and Assignments are very hard to solve. Worst $ 500 dollars spent in my life, and the course isn' t worth even $ 10! I' m an online instructor myself and the quality of the course isn' t worth its price!
course
Negative
 Very bad course so far. Very little detail and $T$ are very hard to solve. Worst $ 500 dollars spent in my life, and the course isn' t worth even $ 10! I' m an online instructor myself and the quality of the course isn' t worth its price!
Assignments
Negative
 Very bad course so far. Very little detail and Assignments are very hard to solve. Worst $ 500 dollars spent in my life, and the course isn' t worth even $ 10! I' m an online instructor myself and the quality of the $T$ isn' t worth its price!
course
Negative
Is this a real $T$ for a data scientist just installing shit and a peer reviewing for that screenshot and forking all repos... very bad not worth to be with rest course in specialization
course
Negative
Is this a real course for a data scientist just $T$ shit and a peer reviewing for that screenshot and forking all repos... very bad not worth to be with rest course in specialization
installing
Negative
Is this a real course for a data scientist just installing shit and a $T$ for that screenshot and forking all repos... very bad not worth to be with rest course in specialization
peer reviewing
Negative
Excelente opportunity to learn a lot. The $T$ is very well prepared introduce you to R programing. Dont feel bad if you dont get it at te first moment. It will be a process of leaning worth trying
course
Positive
Overall not a bad $T$. Needs some tidying up though. For example, the assignments seem to assume knowledge of functions not covered in the prior lessons. Same applies to the textbook, e. g. page 50 refers to the subset() function, but it is not actually covered. 
course
Neutral
Overall not a bad course. Needs some tidying up though. For example, the $T$ seem to assume knowledge of functions not covered in the prior lessons. Same applies to the textbook, e. g. page 50 refers to the subset() function, but it is not actually covered. 
assignments
Negative
Not bad, but I felt the $T$ had maybe a touch too much hand holding, and he never talked about how to compute the derivatives of Adam Optimization, though of course we promptly use Tensorflow to do it for us. 
exercises
Negative
Very good $T$, but in contrast to the other courses the practical exercises are missing. I would like to see some transfer learning and( non-) end- to- end learning approaches, where the student has to examine how bad/ good end- to- end performs in contrast to a multi- step approaches. 
course
Positive
Very good course, but in contrast to the other courses the $T$ are missing. I would like to see some transfer learning and( non-) end- to- end learning approaches, where the student has to examine how bad/ good end- to- end performs in contrast to a multi- step approaches. 
practical exercises
Negative
the worst thing about the $T$( which ain' t even that bad) is that some things got a little repetitive but overall a really good opportunity to learn
course
Negative
Excellent $T$ but the quizzes are badly done, many questions have several reasonable answers and very little feedback if we' get it wrong' 
content
Positive
Excellent content but the $T$ are badly done, many questions have several reasonable answers and very little feedback if we' get it wrong' 
quizzes
Negative
Good for the numerous hints about $T$ such as different distributions on train/ dev/ set. Very bad for the lack of hands- on assignments. Good practical advices but no occasion to see them working! 
practical issues
Positive
Good for the numerous hints about practical issues such as different distributions on train/ dev/ set. Very bad for the lack of hands- on $T$. Good practical advices but no occasion to see them working! 
assignments
Negative
One of the most clear convolution $T$ ever! Loved the mostly recent algos discussed, too bad all important papers don' t have breakdowns like that! Negative:
explanations
Positive
The $T$ is good. Well explained. The videos need some editing, sometimes speech is repeated which doesn' t help with concentration. Also, the forums need fixing, for someone used to Stack Overflow( and others) the forums work really bad.
course
Positive
The course is good. Well explained. The $T$ need some editing, sometimes speech is repeated which doesn' t help with concentration. Also, the forums need fixing, for someone used to Stack Overflow( and others) the forums work really bad.
videos
Neutral
The course is good. Well explained. The videos need some editing, sometimes speech is repeated which doesn' t help with concentration. Also, the $T$ need fixing, for someone used to Stack Overflow( and others) the forums work really bad.
forums
Negative
Week 3 has a bad $T$ system for the programming assignment. The exact" 0" blocked many time, and waste efforts. Otherwise, the course is good. 
grading
Negative
Week 3 has a bad grading system for the programming $T$. The exact" 0" blocked many time, and waste efforts. Otherwise, the course is good. 
assignment
Negative
$T$ was good, Yolo was hard and i still does not suggest, wasted too much time on exercises, when the answer was not match it passed! very bad experience with the exercise part. 
content
Positive
content was good, Yolo was hard and i still does not suggest, wasted too much time on $T$, when the answer was not match it passed! very bad experience with the exercise part. 
exercises
Negative
the $T$ itself was great, but Coursera did a very bad job providing the infrastructure for the last assignment. it took me a long time to hack the assignment and submit successfully. 
course
Positive
the course itself was great, but $T$ did a very bad job providing the infrastructure for the last assignment. it took me a long time to hack the assignment and submit successfully. 
Coursera
Negative
the course itself was great, but Coursera did a very bad job providing the infrastructure for the last $T$. it took me a long time to hack the assignment and submit successfully. 
assignment
Negative
$T$ is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course
Video editing
Negative
Video editing is bad and $T$ have lots of inconsistent wording and bugs, apart from that knowledge wise really good course
assignments
Negative
Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good $T$
course
Positive
The $T$ were not as good as the previous andrew ng. courses, and the exercises were quite bad in all honesty. I do appreciate what I have learned, as the lectures WERE clear enough.
lectures
Negative
The lectures were not as good as the previous andrew ng. courses, and the $T$ were quite bad in all honesty. I do appreciate what I have learned, as the lectures WERE clear enough.
exercises
Negative
The lectures were not as good as the previous andrew ng. courses, and the exercises were quite bad in all honesty. I do appreciate what I have learned, as the $T$ WERE clear enough.
lectures
Positive
Overall a great $T$, thanks to Andrew NG for his great explanations. But a very bad support, I faced many issues in submitting the assignment due to technical issues( notebook not saving) but no dedicated resource to help me. I spend lot of time in resolving my self. 
course
Positive
Overall a great course, thanks to $T$ NG for his great explanations. But a very bad support, I faced many issues in submitting the assignment due to technical issues( notebook not saving) but no dedicated resource to help me. I spend lot of time in resolving my self. 
Andrew
Positive
Overall a great course, thanks to Andrew NG for his great explanations. But a very bad support, I faced many issues in submitting the $T$ due to technical issues( notebook not saving) but no dedicated resource to help me. I spend lot of time in resolving my self. 
assignment
Negative
The best MOOC in Machine Learning I have ever seen. Also if slides are often bad to read. The $T$ covers a bride range of ML areas with all the necessary details to understand and implement the algorithms. The best choise for beginners. 
course
Positive
Great $T$, good lecturer, and also practical and lets you try for yourself and test your gained knowledge. Too bad there is no way to prove that all the assignments were completed successfully and so that I passed the course.
course
Positive
Great course, good $T$, and also practical and lets you try for yourself and test your gained knowledge. Too bad there is no way to prove that all the assignments were completed successfully and so that I passed the course.
lecturer
Positive
Great course, good lecturer, and also practical and lets you try for yourself and test your gained knowledge. Too bad there is no way to prove that all the $T$ were completed successfully and so that I passed the course.
assignments
Neutral
This $T$ is very helpful to get a good understanding of ML concepts, differentiating good/ bad ML practices. The programming assignments helps in understanding- how different things could be arranged in the system. 
course
Positive
This course is very helpful to get a good understanding of ML concepts, differentiating good/ bad ML practices. The $T$ helps in understanding- how different things could be arranged in the system. 
programming assignments
Positive
Too bad i haven' t started earlier! It was an honor and I had great time working through the $T$, reviews and exercises. Thank you very much Andrew for your time and making this available to us. Thank you! 
videos
Positive
Too bad i haven' t started earlier! It was an honor and I had great time working through the videos, reviews and $T$. Thank you very much Andrew for your time and making this available to us. Thank you! 
exercises
Positive
Too bad i haven' t started earlier! It was an honor and I had great time working through the videos, reviews and exercises. Thank you very much $T$ for your time and making this available to us. Thank you! 
Andrew
Positive
Wonder $T$. and coherent informative material, the only minor issue is the bad sound quality, other than that it is excellent and recommended for everyone passionate about the field of Machine Learning. 
Prof
Positive
Wonder Prof. and coherent informative $T$, the only minor issue is the bad sound quality, other than that it is excellent and recommended for everyone passionate about the field of Machine Learning. 
material
Positive
Wonder Prof. and coherent informative material, the only minor issue is the $T$ quality, other than that it is excellent and recommended for everyone passionate about the field of Machine Learning. 
bad sound
Negative
Excellently taught by $T$ Ng. Assignments aren' t too involved, which is both good and bad, but they provide a good enough taste of what' s necessary to apply some of the principals in practice.
Andrew
Positive
Excellently taught by Andrew Ng. $T$ aren' t too involved, which is both good and bad, but they provide a good enough taste of what' s necessary to apply some of the principals in practice.
Assignments
Negative
 Very good overview of ML. The GraphLab api wasn' t that bad, and also it was very wise of the $T$ to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
instructors
Positive
 Very good overview of ML. The GraphLab api wasn' t that bad, and also it was very wise of the instructors to allow the use of other ML $T$. Overall i enjoyed it very much and also leaned very much
packages
Positive
Great $T$ to start with machine learning. When I started this course I heard bad words about turicreate. But I think it is very easy to work with this compare to pandas. And it will even save your time that you can invest in learning more theoretical aspects. 
Course
Positive
Great Course to start with machine learning. When I started this course I heard bad words about turicreate. But I think it is very easy to work with this compare to pandas. And it will even save your time that you can invest in $T$ more theoretical aspects. 
learning
Positive
Nice overview to ease into all the $T$!, Only bad this is they use sframe:( either make it opensource and in the mainstream use or provide the assignments in sklearn! 
content
Positive
Nice overview to ease into all the content!, Only bad this is they use sframe:( either make it opensource and in the mainstream use or provide the $T$ in sklearn! 
assignments
Negative
Very good introduction to machine learning. $T$ are well presented and explained, i would have preferred to use a Open Source library in the assignments, but is not bad to know how to use Graphlab, a very powerful tool, for sure! 
Concepts
Positive
Very good introduction to machine learning. Concepts are well presented and explained, i would have preferred to use a Open Source library in the $T$, but is not bad to know how to use Graphlab, a very powerful tool, for sure! 
assignments
Neutral
Very good introduction to machine learning. Concepts are well presented and explained, i would have preferred to use a Open Source library in the assignments, but is not bad to know how to use Graphlab, a very powerful $T$, for sure! 
tool
Positive
Excellent $T$. First time I am doing one online course. Excellent and experienced tutor. Explained difficult concepts in a simple way. And I enjoyed doing programming assignments. Thank you Andrew NG. 
course
Positive
Excellent course. First time I am doing one online course. Excellent and experienced $T$. Explained difficult concepts in a simple way. And I enjoyed doing programming assignments. Thank you Andrew NG. 
tutor
Positive
Excellent course. First time I am doing one online course. Excellent and experienced tutor. Explained difficult concepts in a simple way. And I enjoyed doing programming $T$. Thank you Andrew NG. 
assignments
Positive
Machine Learning $T$ has been an exciting and challenging learning experience. Special thanks to Andrew Ng. His simple explanations are vital for beginners enabling them understand difficult concepts
course
Positive
Machine Learning course has been an exciting and challenging $T$ experience. Special thanks to Andrew Ng. His simple explanations are vital for beginners enabling them understand difficult concepts
learning
Positive
Machine Learning course has been an exciting and challenging learning experience. Special thanks to $T$ Ng. His simple explanations are vital for beginners enabling them understand difficult concepts
Andrew
Positive
Machine Learning course has been an exciting and challenging learning experience. Special thanks to Andrew Ng. His simple $T$ are vital for beginners enabling them understand difficult concepts
explanations
Positive
$T$ focus on the topics and provide you with good templates that you can easily fill in so you don' t waste your time. Videos are very well done and quizzes are reasonable difficulty. 
Programming exercises
Positive
Programming exercises focus on the topics and provide you with good templates that you can easily fill in so you don' t waste your time. $T$ are very well done and quizzes are reasonable difficulty. 
Videos
Positive
Programming exercises focus on the topics and provide you with good templates that you can easily fill in so you don' t waste your time. Videos are very well done and $T$ are reasonable difficulty. 
quizzes
Neutral
It' s a very difficult $T$ and some parts are quite abstract for me, luckily Professor Ng explains everything very clearly which helps me to understand quite well. Thank you so much Professor Ng. 
course
Neutral
It' s a very difficult course and some parts are quite abstract for me, luckily $T$ Ng explains everything very clearly which helps me to understand quite well. Thank you so much Professor Ng. 
Professor
Positive
andrew ng is a great $T$. He can explain the difficult concept in easy words so I can undrestand and follow the whole course even if I did not have any prior knowledge about machine learning. 
lectrer
Positive
andrew ng is a great lectrer. He can explain the difficult $T$ in easy words so I can undrestand and follow the whole course even if I did not have any prior knowledge about machine learning. 
concept
Positive
This is a really great $T$. I have gained a comprehensive understanding of machine learning. Though there is some difficulties I encountered during the course, I am proud that I conquered them??? 
course
Positive
Andrew Ng was really good at explaining the difficult $T$ in a simple basic way. Thanks for teaching the difficult ML in such easy way. Really enjoyed and felt this was a challenging course. 
concepts
Positive
Andrew Ng was really good at explaining the difficult concepts in a simple basic way. Thanks for $T$ the difficult ML in such easy way. Really enjoyed and felt this was a challenging course. 
teaching
Positive
Very difficult $T$ that are explained as clearly as possible. Actually taking the time to digest this information is priceless, and a certification from Stanford for ML, you can' t beat it. 
concepts
Positive
Very difficult concepts that are explained as clearly as possible. Actually taking the time to digest this information is priceless, and a $T$ from Stanford for ML, you can' t beat it. 
certification
Positive
I love this $T$! Thank you Andrew Ng. This course isn' t very difficult, but it contains lots of crucial knowledge. Now I feel confident to apply for a job using machine learning knowledge. 
course
Positive
I love this course! Thank you $T$ Ng. This course isn' t very difficult, but it contains lots of crucial knowledge. Now I feel confident to apply for a job using machine learning knowledge. 
Andrew
Positive
I love this course! Thank you Andrew Ng. This course isn' t very difficult, but it contains lots of crucial $T$. Now I feel confident to apply for a job using machine learning knowledge. 
knowledge
Positive
Wonderful $T$. I have been reading this kind of material by myself. This course is by far the greatest one that professor explains difficult concept in a super simply and straight forward way. 
class
Positive
Wonderful class. I have been reading this kind of material by myself. This $T$ is by far the greatest one that professor explains difficult concept in a super simply and straight forward way. 
course
Positive
Wonderful class. I have been reading this kind of material by myself. This course is by far the greatest one that $T$ explains difficult concept in a super simply and straight forward way. 
professor
Positive
I' m a programming rookie, and spent more than 4 months for completing this course. Thanks for this $T$. The way Professor Ng' s teach makes junior like me not extremely difficult to learn. 
platform
Positive
I' m a programming rookie, and spent more than 4 months for completing this course. Thanks for this platform. The way $T$ Ng' s teach makes junior like me not extremely difficult to learn. 
Professor
Positive
Dr. Ng presents this course in a way that it is easy to understand. The $T$ are very well designed, not easy and not difficult, in the perfect level. Enjoy so much during the learning. 
assignments
Positive
Dr. Ng presents this course in a way that it is easy to understand. The assignments are very well designed, not easy and not difficult, in the perfect level. Enjoy so much during the $T$. 
learning
Positive
Amazing $T$, very easy to follow. Difficulty is changing gradually. Gained exactly the knowledge I wanted. Just the sound quality in the first weeks is poorer, but it gets better later on. 
course
Positive
Amazing course, very easy to follow. Difficulty is changing gradually. Gained exactly the knowledge I wanted. Just the $T$ quality in the first weeks is poorer, but it gets better later on. 
sound
Negative
Excellent $T$ on Machine Learning! Prof. Andrew Ng takes you through a very well- structured journey in Machine Learning and explains even the difficult concepts in a lucid and simple way. 
course
Positive
Excellent course on Machine Learning! $T$. Andrew Ng takes you through a very well- structured journey in Machine Learning and explains even the difficult concepts in a lucid and simple way. 
Prof
Positive
Excellent course on Machine Learning! Prof. Andrew Ng takes you through a very well- structured journey in Machine Learning and explains even the difficult $T$ in a lucid and simple way. 
concepts
Positive
It was great attending the $T$. I learnt a lot. Professor Andrew was amazing and his lectures really helped in understanding these difficult concepts better. Thank you for the experience! 
course
Positive
It was great attending the course. I learnt a lot. $T$ Andrew was amazing and his lectures really helped in understanding these difficult concepts better. Thank you for the experience! 
Professor
Positive
It was great attending the course. I learnt a lot. Professor Andrew was amazing and his $T$ really helped in understanding these difficult concepts better. Thank you for the experience! 
lectures
Positive
 Really great $T$. Easy to learn even though it touches some difficult subjects; the exercises have a medium difficulty, but they are easy to complete using the provided information; and the lectures are very complete yet fun to watch. An excellent introduction to the field of Machine Learning.
course
Positive
 Really great course. Easy to learn even though it touches some difficult subjects; the $T$ have a medium difficulty, but they are easy to complete using the provided information; and the lectures are very complete yet fun to watch. An excellent introduction to the field of Machine Learning.
exercises
Neutral
 Really great course. Easy to learn even though it touches some difficult subjects; the exercises have a medium difficulty, but they are easy to complete using the provided information; and the $T$ are very complete yet fun to watch. An excellent introduction to the field of Machine Learning.
lectures
Positive
Really excellent $T$- absolutely loved all the videos and programming problems. The one thing I found difficult to grasp was the neural network section. I would have liked more emphasis on that particular topic. Other than that- totally recommend to anyone who gets excited about this stuff! 
course
Positive
Really excellent course- absolutely loved all the $T$ and programming problems. The one thing I found difficult to grasp was the neural network section. I would have liked more emphasis on that particular topic. Other than that- totally recommend to anyone who gets excited about this stuff! 
videos
Positive
Really excellent course- absolutely loved all the videos and $T$. The one thing I found difficult to grasp was the neural network section. I would have liked more emphasis on that particular topic. Other than that- totally recommend to anyone who gets excited about this stuff! 
programming problems
Positive
Great introduction to Machine Learning. $T$ Ng does a fantastic job breaking down difficult math concepts and machine learning concepts into more accessible ones. I love his down to earth style. I am learning a lot from his class. I highly recommend it for getting started with Machine Learning. 
Prof
Positive
Great introduction to Machine Learning. Prof Ng does a fantastic job breaking down difficult math concepts and machine learning concepts into more accessible ones. I love his down to earth style. I am $T$ a lot from his class. I highly recommend it for getting started with Machine Learning. 
learning
Positive
$T$ Ng is just brilliant. His lectures are well organized and easy to follow. He also makes complicated stuff easy to understand. The programming assignments are not very difficult and fit the topics well. I would recommend this course to everyone who is interesting in machine learning. 
Professor
Positive
Professor Ng is just brilliant. His lectures are well organized and easy to follow. He also makes complicated stuff easy to understand. The $T$ are not very difficult and fit the topics well. I would recommend this course to everyone who is interesting in machine learning. 
programming assignments
Neutral
Professor Ng is just brilliant. His lectures are well organized and easy to follow. He also makes complicated stuff easy to understand. The programming assignments are not very difficult and fit the topics well. I would recommend this $T$ to everyone who is interesting in machine learning. 
course
Positive
$T$ Andrew Ng' s teaching style and delivery makes it easy to understand difficult concepts. The course material and assignments were neither too simplistic nor too complicated. It was a perfect introduction to machine learning, enabling you to take courses on more advanced topics in ML& AI. 
Prof
Positive
Prof Andrew Ng' s teaching $T$ and delivery makes it easy to understand difficult concepts. The course material and assignments were neither too simplistic nor too complicated. It was a perfect introduction to machine learning, enabling you to take courses on more advanced topics in ML& AI. 
style
Positive
Prof Andrew Ng' s teaching style and delivery makes it easy to understand difficult concepts. The course $T$ and assignments were neither too simplistic nor too complicated. It was a perfect introduction to machine learning, enabling you to take courses on more advanced topics in ML& AI. 
material
Positive
Prof Andrew Ng' s teaching style and delivery makes it easy to understand difficult concepts. The course material and $T$ were neither too simplistic nor too complicated. It was a perfect introduction to machine learning, enabling you to take courses on more advanced topics in ML& AI. 
assignments
Positive
Thank you for this amazing $T$. There is a lot of information about linear and logistic regression in this course as well as materials on SVM machines and neural networks. Unsupervised learning methods such as k- means and PCA are also covered in detail. Challenges difficulty is just right.
course
Positive
The $T$ of the class and the difficulty level were very fitting for me. Prof. Ng explains very well and uses highly useful illustrations on his slides. One small negative point: in some easier lectures the videos could have been shortened for example by reducing redundant explanations. 
scope
Positive
The scope of the class and the difficulty level were very fitting for me. $T$. Ng explains very well and uses highly useful illustrations on his slides. One small negative point: in some easier lectures the videos could have been shortened for example by reducing redundant explanations. 
Prof
Positive
The scope of the class and the difficulty level were very fitting for me. Prof. Ng explains very well and uses highly useful illustrations on his slides. One small negative point: in some easier lectures the $T$ could have been shortened for example by reducing redundant explanations. 
videos
Neutral
Excellent $T$. The course materials, tutorials and discussions provide really good pathway through the many interesting topics. Also, the difficulty was well in line with the expectations, and it was conveniently distributed along the course( few technically easier topics in the end). 
course
Positive
Excellent course. The course $T$, tutorials and discussions provide really good pathway through the many interesting topics. Also, the difficulty was well in line with the expectations, and it was conveniently distributed along the course( few technically easier topics in the end). 
materials
Positive
Excellent course. The course materials, $T$ and discussions provide really good pathway through the many interesting topics. Also, the difficulty was well in line with the expectations, and it was conveniently distributed along the course( few technically easier topics in the end). 
tutorials
Positive
Excellent course. The course materials, tutorials and $T$ provide really good pathway through the many interesting topics. Also, the difficulty was well in line with the expectations, and it was conveniently distributed along the course( few technically easier topics in the end). 
discussions
Positive
Very good, complete $T$. It goes through a lot of different machine learning techniques, well explained. The assignments are interesting and sometimes a bit difficult but the forum is full of good tutoring and test cases which really helps to move through them. I enjoyed it very much! 
course
Positive
Very good, complete course. It goes through a lot of different machine learning techniques, well explained. The $T$ are interesting and sometimes a bit difficult but the forum is full of good tutoring and test cases which really helps to move through them. I enjoyed it very much! 
assignments
Positive
Very good, complete course. It goes through a lot of different machine learning techniques, well explained. The assignments are interesting and sometimes a bit difficult but the $T$ is full of good tutoring and test cases which really helps to move through them. I enjoyed it very much! 
forum
Positive
$T$ are intuitive and right level of detail; problem sets are also reasonable difficulty and gets your hands dirty with coding practices. Machine learning algorithms selected for the course were also very interesting and relevant to the current work being done in the tech landscape. 
Lessons
Positive
A true masterpiece, worth every single dollar. This $T$ provides the basic knowledge everyone will need in order to start a machine learning project. The programming assignments are not particularly difficult, but doing them will help you understand how the learning algorithms work. 
course
Positive
A true masterpiece, worth every single dollar. This course provides the basic knowledge everyone will need in order to start a machine learning project. The $T$ are not particularly difficult, but doing them will help you understand how the learning algorithms work. 
programming assignments
Neutral
Andrew Ng is a great $T$, who is able to make such difficult topics easy to understand. I could learn the machine learning just watching the videos without spending too much time strugling to understand it. Furthermore I really appreciated the balance between theory and practice. 
teacher
Positive
Andrew Ng is a great teacher, who is able to make such difficult topics easy to understand. I could learn the machine learning just watching the $T$ without spending too much time strugling to understand it. Furthermore I really appreciated the balance between theory and practice. 
videos
Positive
Great $T$ with lots of insights and motivation behind specific problems. Very good arrangement of topics. Level difficulty is increased slowly and most important thing in course is it helps to learn how to diagnose the learning algorithm and optimize it to good level of accuracy. 
course
Positive
Great course with lots of insights and motivation behind specific problems. Very good arrangement of topics. $T$ difficulty is increased slowly and most important thing in course is it helps to learn how to diagnose the learning algorithm and optimize it to good level of accuracy. 
Level
Positive
Excellent $T$ for the beginners. The treatment takes you through the software related aspects of machine learning without dealing too much in depth with the mathematical side of the treatment. The way difficult concepts have been dealt with in the lecture slides are simply superb. 
course
Positive
Excellent course for the beginners. The treatment takes you through the $T$ related aspects of machine learning without dealing too much in depth with the mathematical side of the treatment. The way difficult concepts have been dealt with in the lecture slides are simply superb. 
software
Positive
Excellent course for the beginners. The treatment takes you through the software related aspects of machine learning without dealing too much in depth with the mathematical side of the treatment. The way difficult concepts have been dealt with in the lecture $T$ are simply superb. 
slides
Positive
This $T$ was beyond my expectations. The course material was presented very well. The difficulty of the coursework was balanced perfectly: never too easy but never discouraging. Practical application and live online marking ensured that the content was thoroughly understood. 
course
Positive
This course was beyond my expectations. The course $T$ was presented very well. The difficulty of the coursework was balanced perfectly: never too easy but never discouraging. Practical application and live online marking ensured that the content was thoroughly understood. 
material
Positive
This course was beyond my expectations. The course material was presented very well. The difficulty of the coursework was balanced perfectly: never too easy but never discouraging. Practical application and live online marking ensured that the $T$ was thoroughly understood. 
content
Positive
Amazing $T$, Thankyou very much, I really learnt a lot in this course, I would totally recommend this course for those who want to learn and hit barriers in machine learning. For a complete beginner, you might find it a little difficult, you can refer google and get back.
Professor
Positive
Amazing Professor, Thankyou very much, I really learnt a lot in this course, I would totally recommend this $T$ for those who want to learn and hit barriers in machine learning. For a complete beginner, you might find it a little difficult, you can refer google and get back.
course
Positive
Great introduction! Provided the most essential $T$ with hard- earned algorithm intuitions and system- building advice. Not mathematically concrete on more difficult items( e. g. neural networks, SVM, Gaussian, EM) and external sources are needed for better understanding. 
materials
Positive
It' s a little bit difficult to understand some $T$, even thought with examples. So it would be nice if there are some programming in the course. That will help to understand the process. 
concepts
Negative
It' s a little bit difficult to understand some concepts, even thought with examples. So it would be nice if there are some $T$ in the course. That will help to understand the process. 
programming
Neutral
 The $T$ are fast forwarded which causes problem while understanding difficult portions of the course please slow it down.
videos
Negative
 The videos are fast forwarded which causes problem while understanding difficult portions of the $T$ please slow it down.
course
Neutral
 This $T$ is full of intuitions that are very difficult to remember at once. The quiz is very hard and mind teasing. For better confidence, I would like if you add one more case study. In general the course is good
course
Negative
 This course is full of intuitions that are very difficult to remember at once. The $T$ is very hard and mind teasing. For better confidence, I would like if you add one more case study. In general the course is good
quiz
Negative
I need a lot more practice than is offered here. I would also strongly prefer if the $T$ followed some of the best practice laid out in books such as" How Learning Works" because I have difficulty following the instructor' s line of reasoning. 
instruction
Neutral
I need a lot more practice than is offered here. I would also strongly prefer if the instruction followed some of the best practice laid out in books such as" How Learning Works" because I have difficulty following the $T$' s line of reasoning. 
instructor
Neutral
Excellent $T$. Time well spent. Simple explanations of difficult concepts. I was able to download yolo v2 in pytorch, reconfigure it to use CPU on my Mac, and get it running on my webcam in 1h after completing Week3 assignment.
course
Positive
Excellent course. Time well spent. Simple explanations of difficult $T$. I was able to download yolo v2 in pytorch, reconfigure it to use CPU on my Mac, and get it running on my webcam in 1h after completing Week3 assignment.
concepts
Positive
This $T$ gives you adequate foundation to build upon your knowledge in the subject. The structuring of course is perfect and assignments help to pick up difficult codes so easily. Andrew is an exceptional teacher who knows the field and shares his experience and knowledge so humbly. 
course
Positive
This course gives you adequate foundation to build upon your knowledge in the subject. The $T$ of course is perfect and assignments help to pick up difficult codes so easily. Andrew is an exceptional teacher who knows the field and shares his experience and knowledge so humbly. 
structuring
Positive
This course gives you adequate foundation to build upon your knowledge in the subject. The structuring of course is perfect and $T$ help to pick up difficult codes so easily. Andrew is an exceptional teacher who knows the field and shares his experience and knowledge so humbly. 
assignments
Positive
This course gives you adequate foundation to build upon your knowledge in the subject. The structuring of course is perfect and assignments help to pick up difficult codes so easily. Andrew is an exceptional $T$ who knows the field and shares his experience and knowledge so humbly. 
teacher
Positive
 A clear $T$ of a difficult subject with an emphasis on being able to create and to understand your own neural networks.- Plus in this module how to use algorithms which significantly reduce your computational needs and with an introduction to processing visual data.
explanation
Positive
Great $T$!! Just completed it. Really a good course for beginners who want a jump start in CNNs. Without the theory given in this course, it will be really difficult for someone to implement Convolutional Neural Nets in practice using Tensorlfow or any other library. 
Course
Positive
An excellent $T$ on CNN! After watching Professor Andrew' s video lectures and trying related programming work, I was able to gain a reasonable amount of confidence on the various concepts, which otherwise could have been overwhelmingly difficult and complicated. 
course
Positive
An excellent course on CNN! After watching $T$ Andrew' s video lectures and trying related programming work, I was able to gain a reasonable amount of confidence on the various concepts, which otherwise could have been overwhelmingly difficult and complicated. 
Professor
Positive
An excellent course on CNN! After watching Professor Andrew' s video lectures and trying related programming work, I was able to gain a reasonable amount of confidence on the various $T$, which otherwise could have been overwhelmingly difficult and complicated. 
concepts
Positive
These $T$ are VERY well put together and concentrate excellent concept in little time compared to taking the available Stanford CNN classes online which are verytime consuming for the same result. Andrew is motivating and makes difficult concepts very accessible. 
courses
Positive
These courses are VERY well put together and concentrate excellent concept in little time compared to taking the available Stanford CNN classes online which are verytime consuming for the same result. $T$ is motivating and makes difficult concepts very accessible. 
Andrew
Positive
It ?? s an excellent $T$, and also a lot more difficult than the previous ones. The only little problem is that in some programming exercises there are some fallen links to the web- information of some functions, complicating a little more the exercises. 
course
Positive
It ?? s an excellent course, and also a lot more difficult than the previous ones. The only little problem is that in some $T$ there are some fallen links to the web- information of some functions, complicating a little more the exercises. 
programming exercises
Neutral
This is a great $T$ which make me know how to do computing vision and neural style transfer( which is something I thought amazing before). Although the course is a bit difficult, it is interesting and useful. Hope you enjoy too. 
course
Positive
Very detailed and thorough $T$ on CNNs. The difficult concepts are presented in an easy to understand manner and the practical exercises allow you to gain a better understanding of using the various CNN networks. 
course
Positive
Very detailed and thorough course on CNNs. The difficult $T$ are presented in an easy to understand manner and the practical exercises allow you to gain a better understanding of using the various CNN networks. 
concepts
Positive
Very detailed and thorough course on CNNs. The difficult concepts are presented in an easy to understand manner and the practical $T$ allow you to gain a better understanding of using the various CNN networks. 
exercises
Positive
The $T$ was nice, specially' swirl' is a great tool to learn and catch back. I do have some issues with assignments which were sometimes very difficult to understand.
course
Positive
The course was nice, specially' swirl' is a great $T$ to learn and catch back. I do have some issues with assignments which were sometimes very difficult to understand.
tool
Positive
Difficulty of Programming $T$ was much higher than anything else in the course. Took a lot of" hacker" mentality to complete them... but maybe that' s the point! 
assignments
Negative
Good one for a beginner. The $T$ requires self study from the internet as the material isn' t at par with the assignments, they' ve slightly higher difficulty. 
assignments
Negative
 The $T$ are excellent for learning. however, the last assignment for programming might be too difficult for total beginners. need to put in extra effort.
assignements
Positive
Good $T$, at the end a bit difficult as you have to program your own functions. For a person with no R knowledge at all would be very difficult to pass. 
course
Positive
Very good $T$. Programming assignments were enjoyable and challenging. They may be a little difficult for someone without a programming background
course
Positive
Very good course. $T$ were enjoyable and challenging. They may be a little difficult for someone without a programming background
Programming assignments
Positive
Good $T$ overall. The course would be better if the learning activities better prepared you for the difficulty of the final programming assignment. 
course
Positive
Good course overall. The course would be better if the learning activities better prepared you for the $T$ of the final programming assignment. 
difficulty
Negative
Good course overall. The course would be better if the learning activities better prepared you for the difficulty of the $T$ assignment. 
final programming
Negative
Good course overall. The course would be better if the learning activities better prepared you for the difficulty of the final programming $T$. 
assignment
Negative
 Very good $T$. But the final test was too difficult. Almost impossible without external help for people like me with no experience in programming
course
Positive
 Very good course. But the $T$ was too difficult. Almost impossible without external help for people like me with no experience in programming
final test
Negative
Very well designed $T$, was able to learn specially through swirl. The last assignment was little difficult but one can manage if he learns well. 
course
Positive
Very well designed course, was able to learn specially through swirl. The $T$ was little difficult but one can manage if he learns well. 
last assignment
Negative
I think $T$ are too difficult. we should use the function which is not taught in the course. and so, we have to rely the TIPS mentors give us.
homework
Negative
$T$ can be made better. They should increase in level of difficulty, rather than making them quite tough for first time R programmers. 
Assignments
Neutral
 I' ve learned great things during this $T$, I feel powerful now! Yet be aware that the first two practical assignments are very difficult.
course
Positive
 I' ve learned great things during this course, I feel powerful now! Yet be aware that the first two practical $T$ are very difficult.
assignments
Negative
It was quite difficult to study alone and $T$ by own but I got much help from forum. The mentor was so enthusiastic and really helpful. 
learn
Negative
It was quite difficult to study alone and learn by own but I got much help from $T$. The mentor was so enthusiastic and really helpful. 
forum
Positive
It was quite difficult to study alone and learn by own but I got much help from forum. The $T$ was so enthusiastic and really helpful. 
mentor
Positive
It is a bit difficult for beginners to complete the $T$ without any help. And it also takes a lot of time to understand the code. 
assignments
Negative
It is a bit difficult for beginners to complete the assignments without any help. And it also takes a lot of time to understand the $T$. 
code
Negative
It was a good $T$. Explained in a simple way. Although assignment were a bit difficult but overall a good course for beginners. 
course
Positive
It was a good course. Explained in a simple way. Although $T$ were a bit difficult but overall a good course for beginners. 
assignment
Negative
It was a good course. Explained in a simple way. Although assignment were a bit difficult but overall a good $T$ for beginners. 
course
Positive
This $T$ was good. however, I found it difficult to complete the assignments as they were not what was taught in the lessons. 
course
Positive
This course was good. however, I found it difficult to complete the $T$ as they were not what was taught in the lessons. 
assignments
Negative
A little daunting at first but the $T$ is simple and the ability to search video transcripts for tidbits basically saves me the step of taking notes. Some of the navigation was difficult in the forum, but I ended up figuring it out and posting something. 
instruction
Positive
A little daunting at first but the instruction is simple and the ability to search $T$ for tidbits basically saves me the step of taking notes. Some of the navigation was difficult in the forum, but I ended up figuring it out and posting something. 
video transcripts
Positive
A little daunting at first but the instruction is simple and the ability to search video transcripts for tidbits basically saves me the step of taking notes. Some of the navigation was difficult in the $T$, but I ended up figuring it out and posting something. 
forum
Neutral
It was straight forward. However, there were some difficulties $T$ RStudio using the latest version. I had to go the previous one. e. g. Latest was 3. 5 I used 3. 4 matching RTools. Other than that very straight fwd, including Github( basic) usage
installing
Neutral
$T$ was speaking to quickly, its was every difficult to understand for me as non- native English speakers. An other thing that i notice is that the error message was completely misleading. Should be improved
Author
Negative
Author was speaking to quickly, its was every difficult to understand for me as non- native English speakers. An other thing that i notice is that the $T$ was completely misleading. Should be improved
error message
Negative
The first week' s $T$ is really difficult and I had to go through the lecture material several times. Because of the great number of very short lectures it is difficult to find an asnwer to sought question. 
quiz
Negative
The first week' s quiz is really difficult and I had to go through the lecture material several times. Because of the great number of very $T$ it is difficult to find an asnwer to sought question. 
short lectures
Negative
It would be helpful for absolute beginners who even have difficulty in $T$ programs like R and GitHub but otherwise it felt a bit too basic although informative with some of the Git commands
installing
Neutral
Most of the $T$ were very clear. Image quality for pushing files to Github via command lines was poor, so it was difficult to follow along. Not sure why there were 2 Git bash counsels open
instructions
Positive
Most of the instructions were very clear. $T$ for pushing files to Github via command lines was poor, so it was difficult to follow along. Not sure why there were 2 Git bash counsels open
Image quality
Negative
Great $T$. But sometimes it' s a little bit difficult to follow, because the instructor just listed those Git commands without actually demonstrating how to use Git step by step. 
course
Positive
Great course. But sometimes it' s a little bit difficult to follow, because the $T$ just listed those Git commands without actually demonstrating how to use Git step by step. 
instructor
Neutral
i am little weak at understanding things when taught for the first time. so understanding and learning about $T$ was little difficult due to the computer voice
toolbox
Negative
i am little weak at understanding things when taught for the first time. so understanding and learning about toolbox was little difficult due to the $T$
computer voice
Negative
Overall $T$ was good but I' m actually disappointed by the tone of the videos by some computer voice which actually makes it more difficult to undertsand
Content
Positive
Overall Content was good but I' m actually disappointed by the tone of the videos by some $T$ which actually makes it more difficult to undertsand
computer voice
Negative
Good crash $T$ on setting up all the toolbox necessary for a data scientist. The quiz could be more difficult than it is designed now. 
course
Neutral
Good crash course on setting up all the toolbox necessary for a data scientist. The $T$ could be more difficult than it is designed now. 
quiz
Neutral
Still difficult for me get to used to listen to the $T$. But it is very good slides, easy to follow.
computer talk
Negative
Still difficult for me get to used to listen to the computer talk. But it is very good $T$, easy to follow.
slides
Positive 
This $T$ stays on the surface and doesn' t delve too deep, probably in order to not scare off people who are new to the subject. From what I' ve seen in the second course, the material becomes a lot more difficult, which I was glad to see. 
course
Neutral
This course stays on the surface and doesn' t delve too deep, probably in order to not scare off people who are new to the subject. From what I' ve seen in the second course, the $T$ becomes a lot more difficult, which I was glad to see. 
material
Positive
Good introduction, but the $T$ could have been more descriptive about how to use git/ github. These are new concepts for people so it may be difficult to grasp right away. 
professor
Negative
Good introduction, but the professor could have been more descriptive about how to use git/ github. These are new $T$ for people so it may be difficult to grasp right away. 
concepts
Negative
Difficult to follow the $T$ at a speed of 1, 5; the links simply don' t workAnd, known bugs on LaTeX need to be found by googling
robotic voice
Negative
This $T$ was a beginner level course and the difficulty level was quite low and in depth detail should have been provided. 
course
Neutral
Very basic $T$. Poorly motivated, material presented without an effort to demonstrate why. This is not entirely out of place in this intro course, but it permeates the entire program. Difficulty poorly controlled, projects and quizzes much more advanced than lectures. 
course
Neutral
Very basic course. Poorly motivated, $T$ presented without an effort to demonstrate why. This is not entirely out of place in this intro course, but it permeates the entire program. Difficulty poorly controlled, projects and quizzes much more advanced than lectures. 
material
Negative
Very basic course. Poorly motivated, material presented without an effort to demonstrate why. This is not entirely out of place in this intro course, but it permeates the entire program. Difficulty poorly controlled, $T$ and quizzes much more advanced than lectures. 
projects
Negative
Very basic course. Poorly motivated, material presented without an effort to demonstrate why. This is not entirely out of place in this intro course, but it permeates the entire program. Difficulty poorly controlled, projects and $T$ much more advanced than lectures. 
quizzes
Negative
The experience sure was a memorable one. The $T$ was very good. The only problem about the course was probably the exercises, they are a lot more difficult than what is taught. All in all it was an amazing experience
course material
Positive
The experience sure was a memorable one. The course material was very good. The only problem about the course was probably the $T$, they are a lot more difficult than what is taught. All in all it was an amazing experience
exercises
Negative
one of the best short $T$ out there for python, the instructor is very nice and explains concepts with a lot of enthusiasm which is nice. Difficulty level sometimes gets high in questions otherwise a very good course. 
courses
Positive
one of the best short courses out there for python, the $T$ is very nice and explains concepts with a lot of enthusiasm which is nice. Difficulty level sometimes gets high in questions otherwise a very good course. 
instructor
Positive
one of the best short courses out there for python, the instructor is very nice and explains concepts with a lot of enthusiasm which is nice. Difficulty $T$ sometimes gets high in questions otherwise a very good course. 
level
Negative
I learned a LOT in this $T$ and it was pretty straight forward most of the time. Sometimes it' s difficult to know what the question is asking me to do. could just be that I' m not totally familiar with python jargon. 
course
Positive
The $T$ had a lil more difficulty level compared to the level of teaching. For someone who is a beginner i coding finds it difficult to cope with it. Apart from that it was a fabulous journey. 
tests
Negative
The tests had a lil more difficulty level compared to the level of teaching. For someone who is a beginner i $T$ finds it difficult to cope with it. Apart from that it was a fabulous journey. 
coding
Negative
$T$ not enough to complete the quiz and assignments. I felt bit difficulties while prepare the assignment and quiz programs. So please include more examples while explain the concepts. 
Examples
Negative
Examples not enough to complete the $T$ and assignments. I felt bit difficulties while prepare the assignment and quiz programs. So please include more examples while explain the concepts. 
quiz
Negative
Examples not enough to complete the quiz and $T$. I felt bit difficulties while prepare the assignment and quiz programs. So please include more examples while explain the concepts. 
assignments
Negative
the only bad side of this $T$ is that the final project seems like a really difficult task. it' s so hard to fully understand what was happening
course
Neutral
the only bad side of this course is that the $T$ seems like a really difficult task. it' s so hard to fully understand what was happening
final project
Negative
$T$ are well paced and help reinforce syllabus. However final project had a big jump in difficulty that could have better guidance.
Practices
Positive
Practices are well $T$ and help reinforce syllabus. However final project had a big jump in difficulty that could have better guidance.
paced
Positive
Practices are well paced and help reinforce syllabus. However $T$ had a big jump in difficulty that could have better guidance.
final project
Negative
This is a very good $T$. Somewhat difficult at times when it comes to the programming assignments but the videos are well laid out. 
course
Positive
This is a very good course. Somewhat difficult at times when it comes to the $T$ but the videos are well laid out. 
programming assignments
Negative
This is a very good course. Somewhat difficult at times when it comes to the programming assignments but the $T$ are well laid out. 
videos
Positive
This was a great experiance. this python $T$ is really good but the only week 5 part is some what difficult to understand. 
course
Positive
the difficult curve is a bit sharp during last week. I hope you can provide more $T$ for us to understand
examples
Negative
The majority of times the $T$ was good and clear but at times it was too fast. Assignments were a bit difficult as compared to what the explained in the sessions. The instructor was good too and didn' t make things boring for the students.
explanation
Positive
The majority of times the explanation was good and clear but at times it was too fast. $T$ were a bit difficult as compared to what the explained in the sessions. The instructor was good too and didn' t make things boring for the students.
Assignments
Negative
The majority of times the explanation was good and clear but at times it was too fast. Assignments were a bit difficult as compared to what the explained in the sessions. The $T$ was good too and didn' t make things boring for the students.
instructor
Positive
I appreciated the short $T$ and the learning environment, however the course examples given are way too easy compared to the graded material. Perhaps providing additional exercises that gradually increase in difficulty prior to graded quizzes would be helpful. 
videos
Positive
I appreciated the short videos and the learning $T$, however the course examples given are way too easy compared to the graded material. Perhaps providing additional exercises that gradually increase in difficulty prior to graded quizzes would be helpful. 
environment
Positive
I appreciated the short videos and the learning environment, however the course $T$ given are way too easy compared to the graded material. Perhaps providing additional exercises that gradually increase in difficulty prior to graded quizzes would be helpful. 
examples
Neutral
I enjoy the challenge of something new-- but I am" older" and am finding this difficult to continue; with so much effort. I will not continue after this $T$. 
course
Negative
It was an overall great $T$, but it gets difficult very quickly for a person with no programming background and is way more fast paced than you can think. 
course
Positive
It was an overall great course, but it gets difficult very quickly for a person with no programming background and is way more fast $T$ than you can think. 
paced
Negative
Does not provide answers on any $T$. Makes it quite difficult to learn from mistakes if you can' t figure out the right answer. 
quizzes
Negative
it' s a hard one for beginners. The increasing $T$ of difficulties is very steep so we beginners find it really tough. 
level
Negative
The $T$ explains the concepts step by step and clearly. The program assignment leads you to know how to utilize the python and build up the structure. It is easy to understand what a difficult deep learning. I am appreciated to learn the lesson with Coursera. 
professor
Positive
The professor explains the $T$ step by step and clearly. The program assignment leads you to know how to utilize the python and build up the structure. It is easy to understand what a difficult deep learning. I am appreciated to learn the lesson with Coursera. 
concepts
Positive
The professor explains the concepts step by step and clearly. The program assignment leads you to know how to utilize the python and build up the structure. It is easy to understand what a difficult deep learning. I am appreciated to learn the lesson with $T$. 
Coursera
Positive
This is another excellent $T$ from Andrew Ng. After doing his Coursera Octave based initial Machine Learning course I thought I might get up to date to Python/ Numpy techniques. As usual it was excellent. Assignments were not too difficult and you can resubmit multiple times( both quizzes and programming assignments).
course
Positive
This is another excellent course from $T$ Ng. After doing his Coursera Octave based initial Machine Learning course I thought I might get up to date to Python/ Numpy techniques. As usual it was excellent. Assignments were not too difficult and you can resubmit multiple times( both quizzes and programming assignments).
Andrew
Positive
This is another excellent course from Andrew Ng. After doing his Coursera Octave based initial Machine Learning course I thought I might get up to date to Python/ Numpy techniques. As usual it was excellent. $T$ were not too difficult and you can resubmit multiple times( both quizzes and programming assignments).
Assignments
Neutral
The $T$ were more difficult than the previous courses and I literally have to pull all of my limited Python knowledge to finish it. The journey was not easy but because of these assignments, I am now feeling much more comfortable with Python than before. 
assignments
Negative
This $T$ covers a lot of different material and is, in my opinion, more difficult than the previous two Python courses offered in this specialization. Overall, very good. The only critique I have would be to clarify some of the instructions for the assignments.
course
Positive
This course covers a lot of different material and is, in my opinion, more difficult than the previous two Python courses offered in this specialization. Overall, very good. The only critique I have would be to clarify some of the instructions for the $T$.
assignments
Negative
Another nice $T$ from Dr. Chuck. Its difficulty level is higher than the two previous courses and one has to apply oneself harder. It would be great if there were a wider selection of activities to cover more different cases of web data retrieval- handling. 
course
Positive
Another nice course from Dr. Chuck. Its difficulty $T$ is higher than the two previous courses and one has to apply oneself harder. It would be great if there were a wider selection of activities to cover more different cases of web data retrieval- handling. 
level
Positive
A bit more difficult than 2 courses of the same speciality placed before, but if you' ve finished them than it' s still quite easy for understanding. I understood how web applications are working after completing it and even used API by my own. Nice $T$! 
course
Positive
Overall a very well written $T$. As the third in the certificate series, this is where the difficulty starts to ramp up a bit and makes you really practice previously learned concepts and think through problems to implement them in an updated form. 
course
Positive
This is a very challenging $T$, you start to appreciate why programmers make so much money. However, the mentors are always available to give you hints to complete assignments. It may be one of the most difficult classes I have taken so far. 
course
Positive
This is a very challenging course, you start to appreciate why programmers make so much money. However, the $T$ are always available to give you hints to complete assignments. It may be one of the most difficult classes I have taken so far. 
mentors
Positive
It was a great $T$, somewhat more difficult than the previous ones in Python for everybody, but this is what gives the feeling of making progress! Very helpful videos and challenging assignments. I totally recommend it for beginners! 
course
Positive
It was a great course, somewhat more difficult than the previous ones in Python for everybody, but this is what gives the feeling of making progress! Very helpful $T$ and challenging assignments. I totally recommend it for beginners! 
videos
Positive
It was a great course, somewhat more difficult than the previous ones in Python for everybody, but this is what gives the feeling of making progress! Very helpful videos and challenging $T$. I totally recommend it for beginners! 
assignments
Positive
The $T$ is great for beginner and who' s new to python with some basic skills. This really helps you learn to in more particle ways. The assignments aren' t too hard, yet it will give you enough difficulty to strengthen your skills. 
course
Positive
The course is great for beginner and who' s new to python with some basic skills. This really helps you learn to in more particle ways. The $T$ aren' t too hard, yet it will give you enough difficulty to strengthen your skills. 
assignments
Neutral
For me, the $T$ given in each assignment discloses too much information. It is quite easy to twist just a little bit of the code in order to complete the assignment. I would prefer to have more difficult assignments. 
sample code
Negative
For me, the sample code given in each assignment discloses too much information. It is quite easy to twist just a little bit of the code in order to complete the $T$. I would prefer to have more difficult assignments. 
assignment
Negative
Very good introduction $T$, the teacher is great, and the material is better than you would expect at a regular university. The only thing missing is bigger assignments, but that is difficult in an online course. 
course
Positive
Very good introduction course, the $T$ is great, and the material is better than you would expect at a regular university. The only thing missing is bigger assignments, but that is difficult in an online course. 
teacher
Positive
Very good introduction course, the teacher is great, and the $T$ is better than you would expect at a regular university. The only thing missing is bigger assignments, but that is difficult in an online course. 
material
Positive
Very good introduction course, the teacher is great, and the material is better than you would expect at a regular university. The only thing missing is bigger $T$, but that is difficult in an online course. 
assignments
Negative
Excellent $T$. Apart from Dr Chuck giving great lectures, this course gives a good overview about Python and shouldn' t be too difficult even for programming beginners( if you took the previous Python classes). 
Course
Positive
Excellent Course. Apart from Dr Chuck giving great $T$, this course gives a good overview about Python and shouldn' t be too difficult even for programming beginners( if you took the previous Python classes). 
lectures
Positive
Great step up in difficulty from the previous 2 courses in the specialization. I definitely appreciated this change. Learned a lot from this particular $T$ and I look forward to complete the specification. 
course
Positive
Getting a little more difficult but you have the $T$ to do it. Make sure to reference previous classes/ chapters. Class is good in that it makes you use what you' ve already learned to solve new problems. 
tools
Positive
Getting a little more difficult but you have the tools to do it. Make sure to reference previous classes/ chapters. $T$ is good in that it makes you use what you' ve already learned to solve new problems. 
Class
Positive
 I like these $T$ very much. Dr Severance is such a good teacher! But I found the last courses more difficult and maybe I need more time to digest all the elements and certainly need to practice more.
courses
Positive
 I like these courses very much. Dr Severance is such a good $T$! But I found the last courses more difficult and maybe I need more time to digest all the elements and certainly need to practice more.
teacher
Positive
This wasn' t an easy $T$. It probably took me longer than needed but I wrote each assignment without copying as that is the only way I learn. Thank you for putting together a rather difficult course. 
course
Neutral
This wasn' t an easy course. It probably took me longer than needed but I wrote each assignment without copying as that is the only way I learn. Thank you for putting together a rather difficult $T$. 
course
Positive
This course is obviously more difficult to understand than before. In some places I didn' t figure it out, the $T$ didn' t answer my questions, and I don' t know why. But overall it was a great course! 
TA
Negative
This course is obviously more difficult to understand than before. In some places I didn' t figure it out, the TA didn' t answer my questions, and I don' t know why. But overall it was a great $T$! 
course
Positive
$T$ really difficult but helps you learn. Discussion forums help a lot as well. The TA' s hold the line very well of dangling the carrot of where to proceed but not giving outright answers
Assignments
Negative
Assignments really difficult but helps you learn. Discussion $T$ help a lot as well. The TA' s hold the line very well of dangling the carrot of where to proceed but not giving outright answers
forums
Positive
Assignments really difficult but helps you learn. Discussion forums help a lot as well. The $T$' s hold the line very well of dangling the carrot of where to proceed but not giving outright answers
TA
Positive
Thank you Dr. Chuck! I have always wanted to learn Python well, but never had the chance. You make learning Python accessible yet also challenging. Its the perfect $T$ of difficulty for me! 
level
Positive
The course $T$ was very very difficult, I think it would be toughest task for non programming background people to complete this course, it should be less difficult so that new peoples can perform it easily. 
assignment
Negative
Excellent, although, even without having any programming experience except some Visual Basic at school about ten years ago, in my opinion the $T$ could have bee more difficult and the pace quicker. 
course
Neutral
Excellent, although, even without having any programming experience except some Visual Basic at school about ten years ago, in my opinion the course could have bee more difficult and the $T$ quicker. 
pace
Negative
by Md. completed this course, spending 1 hours a week on it and found the course $T$ to be easy. I loved this course. With so many glowing reviews, I don' t think mine matters, but here it is anyway: This course is amazing.
difficulty
Neutral
by Md. completed this course, spending 1 hours a week on it and found the course difficulty to be easy. I loved this $T$. With so many glowing reviews, I don' t think mine matters, but here it is anyway: This course is amazing.
course
Positive
It' s a great $T$. I' m actually going to recommend it to at least five separate people. He was intelligent, highly structured/ organized, and went over things multiple times to ensure implant/ imprint. The quizzes and assignments would have been difficult, but not unbearable without prior coding experience. Overall, very good course. 
course
Positive
It' s a great course. I' m actually going to recommend it to at least five separate people. He was intelligent, highly structured/ organized, and went over things multiple times to ensure implant/ imprint. The $T$ and assignments would have been difficult, but not unbearable without prior coding experience. Overall, very good course. 
quizzes
Negative
It' s a great course. I' m actually going to recommend it to at least five separate people. He was intelligent, highly structured/ organized, and went over things multiple times to ensure implant/ imprint. The quizzes and $T$ would have been difficult, but not unbearable without prior coding experience. Overall, very good course. 
assignments
Negative
It' s a great course. I' m actually going to recommend it to at least five separate people. He was intelligent, highly structured/ organized, and went over things multiple times to ensure implant/ imprint. The quizzes and assignments would have been difficult, but not unbearable without prior coding experience. Overall, very good $T$. 
course
Positive
Outstanding! Charles Severance is an extremely dedicated and passionate $T$ who makes you embrace Python3 like an entertaining activity; The rhythm of the lessons is accurate and the difficulty increases gradually from the basic programming skills up to the initial data structure; A must for learning python! 
professor
Positive
Outstanding! Charles Severance is an extremely dedicated and passionate professor who makes you embrace Python3 like an entertaining activity; The rhythm of the lessons is accurate and the $T$ increases gradually from the basic programming skills up to the initial data structure; A must for learning python! 
difficulty
Positive
This is an amazing $T$. Although I am a beginner in programming, and I enjoyed every single video of the course. Homework sometimes could get difficult, but everybody could overcome these difficulties; however, the satisfaction of running a program made by yourself is indescribable. 
course
Positive
This is an amazing course. Although I am a beginner in programming, and I enjoyed every single $T$ of the course. Homework sometimes could get difficult, but everybody could overcome these difficulties; however, the satisfaction of running a program made by yourself is indescribable. 
video
Positive
This is an amazing course. Although I am a beginner in programming, and I enjoyed every single video of the course. $T$ sometimes could get difficult, but everybody could overcome these difficulties; however, the satisfaction of running a program made by yourself is indescribable. 
Homework
Negative
The $T$ is perfect with it' s logic flow( from easy to more difficult, but trust me, you can definitely handle with it), contents and assignments, you can feel your skill on programming is really strengthened little by little, and that gives you a real sense of achievement! 
course
Positive
The course is perfect with it' s logic $T$( from easy to more difficult, but trust me, you can definitely handle with it), contents and assignments, you can feel your skill on programming is really strengthened little by little, and that gives you a real sense of achievement! 
flow
Positive
This was an excellent $T$ that was highly effective in introducing the basics of the Python language and computer programming. It breaks down concepts into very manageable pieces, and progresses gradually in difficulty. Very excited about continuing on to the next course!
course
Positive
This was an excellent course that was highly effective in introducing the basics of the Python language and computer programming. It breaks down $T$ into very manageable pieces, and progresses gradually in difficulty. Very excited about continuing on to the next course!
concepts
Positive
Cool introduction to Python! $T$ are short and clear. Professor is nice and funny wearing a choosing hat from HarryPotter and filming blogs around the world with student. + interviews with Techpeople. assignments have deadlines; and are neither too easy nor too difficult. 
videos
Positive
Cool introduction to Python! videos are short and clear. $T$ is nice and funny wearing a choosing hat from HarryPotter and filming blogs around the world with student. + interviews with Techpeople. assignments have deadlines; and are neither too easy nor too difficult. 
Professor
Positive
Cool introduction to Python! videos are short and clear. Professor is nice and funny wearing a choosing hat from HarryPotter and filming blogs around the world with student. + interviews with Techpeople. $T$ have deadlines; and are neither too easy nor too difficult. 
assignments
Neutral
If you are thinking of studying Python, this $T$ is perfect match. The content is not so difficult to understand and the length is suitable for people whose time is constraint. Also, the question and programming quizs at the end of each chapter is useful for reviewing. 
course
Positive
If you are thinking of studying Python, this course is perfect match. The $T$ is not so difficult to understand and the length is suitable for people whose time is constraint. Also, the question and programming quizs at the end of each chapter is useful for reviewing. 
content
Neutral
If you are thinking of studying Python, this course is perfect match. The content is not so difficult to understand and the $T$ is suitable for people whose time is constraint. Also, the question and programming quizs at the end of each chapter is useful for reviewing. 
length
Positive
If you are thinking of studying Python, this course is perfect match. The content is not so difficult to understand and the length is suitable for people whose time is constraint. Also, the question and programming $T$ at the end of each chapter is useful for reviewing. 
quizs
Positive
Dr. Severance is such a wonderful $T$! I had never done programming before, he built the course so well. Easy in the beginning and challenging at the end. Just the right amount of difficulty to keep going. It was a joy completing this course. Look forward to the next. 
teacher
Positive
Dr. Severance is such a wonderful teacher! I had never done programming before, he built the $T$ so well. Easy in the beginning and challenging at the end. Just the right amount of difficulty to keep going. It was a joy completing this course. Look forward to the next. 
course
Positive
Love this $T$. Was previously using only Codeacademy( which is a great program also), however, as a" first time programmer" I found the basics very difficult to understand. This is really rounding out my understanding and I love your vision for accessible education. 
course
Positive
It' s really a great $T$ for the beginners who want to learn python but dont know how. I thought it would be difficult for me but actually the professor was so great that i found it very enjoyable and i learned basic ideas about python through the little assignments. 
course
Positive
It' s really a great course for the beginners who want to learn python but dont know how. I thought it would be difficult for me but actually the $T$ was so great that i found it very enjoyable and i learned basic ideas about python through the little assignments. 
professor
Positive
The $T$, video and reading are all relevant and straight to the punch. In addition, I felt the class did an excellent job of explaining difficult terms in a fashion that' s understandable to someone who had absolutely 0 programming skills prior( me). Thank you. 
instructors
Positive
The instructors, $T$ and reading are all relevant and straight to the punch. In addition, I felt the class did an excellent job of explaining difficult terms in a fashion that' s understandable to someone who had absolutely 0 programming skills prior( me). Thank you. 
video
Positive
The instructors, video and $T$ are all relevant and straight to the punch. In addition, I felt the class did an excellent job of explaining difficult terms in a fashion that' s understandable to someone who had absolutely 0 programming skills prior( me). Thank you. 
reading
Positive
$T$ prepared to explain IBM Watson tool should be updated. They show IBM Data Science Experience( former ediiton of IBM Watson) and because the interface is not looking the same, tracking the steps is difficult. 
Videos
Negative
Videos prepared to explain IBM Watson tool should be updated. They show IBM Data Science Experience( former ediiton of IBM Watson) and because the $T$ is not looking the same, tracking the steps is difficult. 
interface
Negative
Very educational $T$. However, the interface on the videos are quite different from that of cognitive labs or IBM Watson. This made site navigation very difficult. All in all, it was a good one. Learnt a lot.
course
Positive
Very educational course. However, the $T$ on the videos are quite different from that of cognitive labs or IBM Watson. This made site navigation very difficult. All in all, it was a good one. Learnt a lot.
interface
Negative
$T$ are outdated, so it is difficult to navigate IBM' s website. The overall material is pretty good for a simple introduction. 
Videos
Negative
Videos are outdated, so it is difficult to navigate IBM' s website. The overall $T$ is pretty good for a simple introduction. 
material
Positive
Good $T$, but sometimes the sound in videos wasn' t as good as always. That is why it was a bit difficult to listen. 
course
Positive
Good course, but sometimes the $T$ in videos wasn' t as good as always. That is why it was a bit difficult to listen. 
sound
Negative
The $T$ should be updated together with the IBM Watson. It is difficult to follow the lesson and do the exercise. 
video
Negative
The video should be updated together with the IBM Watson. It is difficult to follow the $T$ and do the exercise. 
lesson
Negative
The video should be updated together with the IBM Watson. It is difficult to follow the lesson and do the $T$. 
exercise
Negative
They need to upload the new $T$, because the videos are with the old version which is very difficult to follow. 
videos
Negative
it is very entry level $T$ and lucidly explain. I would suggest to improve the difficulty level of this course. 
course
Positive
it is very entry level course and lucidly explain. I would suggest to improve the difficulty $T$ of this course. 
level
Neutral