This guide therefore won't include full specializations or programs like Johns Hopkins University's Data Science Specialization on Coursera or Udacity's Data Analyst Nanodegree. These compilations of courses elude the purpose of this series: to find the best individual courses for each subject to comprise a data science education. The final three guides in this series of articles will cover each aspect of the data science process in detail. Several courses listed below require basic programming, statistics, and probability experience. This requirement is understandable given that the new content is reasonably advanced, and that these subjects often have several courses dedicated to them. This experience can be acquired through our recommendations in the first two articles (programming, statistics) in this Data Science Career Guide.
Machine learning was the fifth and latest guide. And now I'm back to conclude this series with even more resources. For each of the five major guides in this series, I spent several hours trying to identify every online course for the subject in question, extracting key bits of information from their syllabi and reviews, and compiling their ratings. My goal was to identify the three best courses available for each subject and present them to you. The 13 supplemental topics -- like databases, big data, and general software engineering -- didn't have enough courses to justify full guides. But over the past eight months, I kept track of them as I came across them. I also scoured the internet for courses I may have missed. For these tasks, I turned to none other than the open source Class Central community, and its database of thousands of course ratings and reviews.
I've already taken several courses and audited portions of many others. I know the options, and what skills are needed if you're targeting a data analyst or data scientist role. For this guide, I spent 20 hours trying to find every single online introduction to programming course offered as of August 2016, extracting key bits of information from their syllabi and reviews, and compiling their ratings. For this task, I turned to none other than the open source Class Central community and its database of thousands of course ratings and reviews. Since 2011, Class Central founder Dhawal Shah has kept a closer eye on online courses than arguably anyone else in the world. Dhawal personally helped me assemble this list of resources.
So you have chosen Python programming for data science? Because Python is one of the most widely used programming languages in the data science field. Python has many packages and libraries that are specifically tailored for certain functions, including pandas, NumPy, scikit-learn, Matplotlib, and SciPy. So if you are looking for the best data science with python courses online, then this article is for you. In this article, you will find 14 best data science with python courses online including free courses.
A year ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master's program using online resources. I realized that I could learn everything I needed through edX, Coursera, and Udacity instead. And I could learn it faster, more efficiently, and for a fraction of the cost. I've taken many data science-related courses and audited portions of many more.