The Top 5 Data Science Courses ...on Udemy | Towards Data Science

IntroductionUdemyMachine Learning A-ZTM: Hands-On Python & R In Data SciencePython for Data Science and Machine Learning BootcampThe Data Science Course 2020: Complete Data Science BootcampR Programming A-ZTM: R For Data Science With Real Exercises!Data Science A-ZTM: Real-Life Data Science Exercises IncludedSummaryReferences
Introduction
Udemy
Machine Learning A-ZTM: Hands-On Python & R In Data Science
Python for Data Science and Machine Learning Bootcamp
The Data Science Course 2020: Complete Data Science Bootcamp
R Programming A-ZTM: R For Data Science With Real Exercises!
Data Science A-ZTM: Real-Life Data Science Exercises Included
Summary
References
For this article, I will focus on the top Data Science courses on Udemy, decided by Udemy [2]. In the past, I have looked into Kaggle, another prominent platform that shared knowledge on all things Data Science. I wanted to branch out and include courses on a platform where nearly 4 million students are learning Data Science. The top courses are also known as the most popular on Udemy; there are also the highest-rated and newest. I wanted to first talk about other platforms that were free, so I do have an article on those topics, which I will include at the end of this article. For now, these Udemy courses all cost around $100. I will outline the main features of each of the top five data science courses on Udemy below.
Included in each course section in this article will be what is included, some useful facts about the course, and what is unique about the course — what separates them from the other respective courses on Udemy.
As mentioned earlier, nearly 4 million students are on Udemy for just Data Science alone, so you can validate that these course information, reviews, and benefits are up to a high standard. I wanted to attest that the knowledge in these courses is something worthy of your investment, as I am a Senior Data Scientist who has primarily learned online from courses like these.
I would like to include more courses from other platforms, but for this article, the focus will be on Udemy. Feel free to comment down below any platforms or websites you would like to see me write about.
Our top course includes all things Machine Learning with not only Python programming language practice, but R as well. There are 10 main parts included in this course, all including very valuable key concepts of Data Science. At this moment, the course has a 4.5-star rating out of 5 stars with nearly 130,000 ratings, costing $104.99 [3].
www.udemy.com
You can expect to learn a myriad of skills and concepts like:
Python and R
Accurate predictions
Robust Machine Learning models
Dimensionality Reduction
Intuition
Powerful analysis
Added value for your business
Reinforcement learning, NLP, and Deep Learning
Knowing which Machine Learning model is for each problem
Some other important stats to know are that there are:
45 sections323 lectures44h 30m total length
To set these popular courses apart, I will also be outlining unique features about the courses, as most of them are all-inclusive in Data Science.
Apriori associate rule learning — in both Python and R
Eclat associate rule learning — in both Python and R
It is recommended that you have some basic mathematics knowledge at the high school level. Most people who use this course are interested in Machine Learning, who are not as comfortable with coding, and want to start a career in Data Science. You can, of course, also utilize this course to brush up and improve upon your current kills, as well as making your resume more competitive.
This course focuses on Python for both Data Science and Machine Learning; including NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, TensorFlow, and more. This $109.99 course’s rating is slightly higher at 4.6 stars, but with fewer ratings around 83,000 [4].
www.udemy.com
There are quite a few things this course highlights that you will learn, including, but not limited to:
Pandas for Data Science
Seaborn for statistical plots
SciKit-Learn for Machine Learning
Logistic Regression
Random Forest and Decision Trees
Neural Networks
Matplotlib and Plotly for plotting and dynamic visualizations
Some other important stats to know are that there are:
27 parts165 lectures24h 54m total length
To set this course apart from the others, I will include some unique sections this course offers.
Spark for Big Data Analysis — this skill is extremely useful and lucrative
Natural Langauge Processing and Spam Filters
I really like that these unique factors are included in this course as I have seen most data scientists fail to have Spark experience, and somewhat have Natural Language Processing (NLP), but usually without useful, practical implication knowledge.
This course especially prides itself in the year 2020, so you can rest assured it is up-to-date. This course focuses on mathematics, statistics, Python, advanced statistics in Python, and Machine and Deep Learning. With a rating of 4.5 stars and around 72,000 ratings, this $114.99 course is the third most popular course on Udemy for Data Science [5].
www.udemy.com
There are even more concepts in this course that are highlighted than the previous course. You will learn, including, but not limited to:
Underfitting, overfitting, training, validation, and n-fold cross-validation
Testing, hyperparameters
Pre-process data
Cluster and factor analysis
Deep neural networks
Some other important stats to know are that there are:
62 sections471 lectures28h 52m total length
To set this course apart from the others, I will include some unique sections this course offers.
Tableau
Google’s TensorFlowDevelop
Tableau is something you may not learn in other courses or at a university, so this course will offer some additional benefits with this unique skill. The TensorFlowDevelop by Google is also unique and offers a way to code and solve important business problems with big data.
Whereas most of the previous courses focused on Python, this course focuses on R. You can expect to learn R Studio, Data Analytics, Data Science, functions, and ggplot2. With a rating of 4.6 stars from about 34,000 students, this course is cheaper at $94.99 [6].
www.udemy.com
There are several concepts in R that you will learn in this course, including, but not limited to:
Core principles of R programming
Creating variables
while() and for() loop in R
matrix(), rbind(), and cbind() functions
Understanding the Normal distribution
Creating vectors in R
Practice with statistical data in R
Some other important facts to know is that there are:
8 sections82 lectures10h 39m total length
Working with financial data
Law of Large Numbers
Apart from this course being completely over R programming, this course offers unique concepts that are very beneficial as well. As a Data Scientist who has worked with tons of financial data, I can attest to how useful and practical it is to study with financial data in not only Python, but R as well. This course also seems to focus more on statistics with the inclusion of the Law of Large Numbers, which is something I did not find as prominent in the other courses.
Last but not least, this course focuses on everything Data Science with the importance of exercises. You can expect to learn real Analytics examples, Data Mining, Model, and Tableau visualizations. Also cheaper, this course is $94.99, with a 4.6 rating from around 27,000 raters [7].
www.udemy.com
Out of all of the courses, this course lists the most concepts. You will learn, including, but not limited to:
Data Mining in Tableau
Ordinary Least Squares for creating Linear Regressions
Reading a confusion matrix
Training and test data for robust model building
Cleaning data and anomaly detection
Chi-Sqaured staatsical test
Some other important facts to know is that there are:
28 sections217 lectures21h 18m total length
This course, perhaps, offers the most unique concepts and skills that you can learn in Data Science. It not only references statistics in-depth , but SQL as well.
Understanding the Odds Ratio
Create Scripts in SQL
Robust Geodemographic Segmentation Model
Building a CAP curve in Excel
To be quite frank, although these courses are on the pricey side, or simply not free, they are still, by far, a great deal. You will have hours upon hours, hundreds of lectures, and a plethora of common and unique data science sections. You have now learned some of the overviews of the top five Data Science courses on Udemy. Here they are again, listed out for easy viewing:
Machine Learning A-ZTM: Hands-On Python & R In Data SciencePython for Data Science and Machine Learning BootcampThe Data Science Course 2020: Complete Data Science BootcampR Programming A-ZTM: R For Data Science With Real Exercises!Data Science A-ZTM: Real-Life Data Science Exercises Included
Thank you for reading my article. I hope you found it both interesting and useful. Please feel free to comment down below and suggest some other common or unique courses you can take on Udemy.
Here are the links to my other articles regarding Data Science courses on both Kaggle [8]:
towardsdatascience.com
I am not affiliated with Udemy. I am reporting the most popular Data Science courses on their website, as well as my commentary and view of them and what makes them unique.
[1] Photo by XPS on Unsplash, (2020)
[2] Udemy, Inc., Data Science Courses, (2020)
[3] K.Eremenko, H.Ponteves, SuperDataScience Team, SuperDataScience Support, Machine Learning A-ZTM: Hands-On Python & R In Data Science, (2020)
[4] J.Portilla, Python for Data Science and Machine Learning Bootcamp, (2020)
[5] 365 Careers, 365 Careers Team, The Data Science Course 2020: Complete Data Science Bootcamp, (2020)
[6] K.Eremenko, SuperDataScience Team, R Programming A-ZTM: R For Data Science With Real Exercises!, (2020)
[7] K.Eremenko, SuperDataScience Team, Data Science A-ZTM: Real-Life Data Science Exercises Included, (2020)
[8] Photo by Jude Beck on Unsplash, (2018)
[9] M.Przybyla, The Top 6 Data Science Courses, (2020)