We got asked this question before, and here's our analysis of the differences.
1. Coursera focuses solely on R for Data Science. SlideRule covers additional tools (e.g. Python, SQL) which a practicing data analyst will find handy. It seems there's a bit of an R vs Python debate in the data world, so we think it's useful for people to know both.
2. SlideRule's path has an (optional) "intro to programming" section for beginners. Coursera assumes some prior programming experience.
3. Most of the courses in the SlideRule path are "self-paced", so in theory someone studying this full-time could cover it in 4-6 weeks. Coursera has fixed start and end dates, so the fastest one could complete the track (accounting for interdependencies of courses) is ~24 weeks.
Thanks for the response, that definitely makes sense. I guess it really depends on the specific technology you want to learn and the type of learner you are.
Comments
We got asked this question before, and here's our analysis of the differences.
1. Coursera focuses solely on R for Data Science. SlideRule covers additional tools (e.g. Python, SQL) which a practicing data analyst will find handy. It seems there's a bit of an R vs Python debate in the data world, so we think it's useful for people to know both.
2. SlideRule's path has an (optional) "intro to programming" section for beginners. Coursera assumes some prior programming experience.
3. Most of the courses in the SlideRule path are "self-paced", so in theory someone studying this full-time could cover it in 4-6 weeks. Coursera has fixed start and end dates, so the fastest one could complete the track (accounting for interdependencies of courses) is ~24 weeks.
Thanks for the response, that definitely makes sense. I guess it really depends on the specific technology you want to learn and the type of learner you are.