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’m almost finished now. I’ve taken many data science-related courses and audited portions of many more. I know the options out there, and what skills are needed for learners preparing for a data analyst or data scientist role. A few months ago, I started creating a review-driven guide that recommends the best courses for each subject within data science.
For the first guide in the series, I recommended a few coding classes for the beginner data scientist. Then it was statistics and probability classes.
Now onto introductions to data science.
(Don’t worry if you’re unsure of what an intro to data science course entails. I’ll explain shortly.)
For this guide, I spent 10+ hours trying to identify every online intro to data science course offered as of January 2017, 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.
链接：
https://medium.freecodecamp.com/i-ranked-all-the-best-data-science-intro-courses-based-on-thousands-of-data-points-db5dc7e3eb8e?gi=4f952fe24a2
原文链接：
http://weibo.com/1402400261/Et0tmhPMg?from=page_1005051402400261_profile&wvr=6&mod=weibotime&type=comment#_rnd1485694165851
