video after january NUMBER_TOKENth coursera plus is still excellent value compared to other learning avenues i mean i wish coursera plus existed when i started learning there i would have saved a bunch instead of signing up and paying for courses individually don't even get me started on how much my university learning fees are check out the link below to receive NUMBER_TOKEN us dollars off your first year of coursera plus before january NUMBER_TOKENth and hey if you don't like it don't worry there's a NUMBER_TOKEN-day money-back guarantee so if you try it out and find that you don't like it you can cancel now let's get into the fun part once you've signed up to coursera plus what should you actually learn if you want to become a data scientist data analyst or machine learning engineer well first things first let's remember this curriculum is targeted for beginners those who have little to no experience in the world of programming let alone data science or machine learning and so in light of that let's define what each of these roles are for the sake of this video a data analyst is someone who uses data to understand the past i mean you may already be one of these if you've ever used a spreadsheet to track your budget or spending that's data analysis a data scientist is someone who uses data to understand the future i mean all science is essentially prophecy using data from the past to predict the future and that's what a data scientist does such as using past sporting results to predict how a team will perform in their next game or using last month's sales results to predict next month's results and finally a machine learning engineer while machine learning is a technique used by data scientists so there can be some confusion here but a machine learning engineer is someone who puts together various pieces of a technology pipeline to implement machine learning algorithms in a production setting and by production setting i mean it could be deploying a computer vision model to a self-driving car or a recommendation model to an online store now the curriculum we're about to go through focuses more on the first two data analyst and data scientist though all three have many overlaps in fact all the materials you need to get started with the first two are available through coursera plus though the last one machine learning engineer since it's quite a new role in the tech field some programs that corcera offer such as deep URL_TOKEN are available separate to coursera plus but there's more info about that in the notion document again we're focusing on a beginner style curriculum in this video okay really this time let's cover what i'd recommend you to learn via coursera to become a data scientist in NUMBER_TOKEN and remember all of these are covered in more details in the notion curriculum template linked below this curriculum outline is focused on learning to write python code for data science and machine learning and it's broken down in three parts number one which is the beginner which is what this video is covering so the beginner path is full of courses i'd highly recommend to get started number two section two is the bonus so some extra materials to expand your skills if you've gone through beginner and would like to learn more and then finally number three is the advanced materials now these are the materials that require skill from the beginner path to get started so i wouldn't recommend going straight into the advanced unless you've already got some experience with python
START_SPONSOR_TOKEN video after january NUMBER_TOKENth coursera plus is still excellent value compared to other learning avenues i mean i wish coursera plus existed when i started learning there i would have saved a bunch instead of signing up and paying for courses individually don't even get me started on how much my university learning fees are check out the link below to receive NUMBER_TOKEN us dollars off your first year of coursera plus before january NUMBER_TOKENth and hey if you don't like it don't worry there's a NUMBER_TOKEN-day money-back guarantee so if you try it out and find that you don't like it you can cancel END_SPONSOR_TOKEN