The Meta MOOC: Getting the Most out of Online Learning
14This is a self-contained mini course sharing tips and strategies for online learning based on my experiences taking online courses over the past 10 years.
The web is the best place to learn about programming and data science. My hope is that the content presented in this video will be useful to those interested in data science, since MOOCs are a great source of technical learning content, while also being accessible and useful to people who may be interested in online learning in general.
Chapters:
0:00 Introduction
0:37 Pros and Cons of Online Learning
6:42 My MOOC Background
7:50 Online Learning Platforms
12:44 Learning Objective
16:00 Finding & Choosing Courses
21:52 To Pay or Not to Pay
25:21 Learning Strategy
29:41 Reading Content
31:30 Lecture Content
34:40 Interactive Content
36:36 Assignments
38:27 Exams & Grades
40:12 Collaboration
42:35 Getting Help
45:33 Dropping Courses
48:00 MOOC Credentials
1:00:14 Retention and Application
1:03:06 Conclusion
If you are interested in learning programming and/or data analytics consider checking out my Python and R playlists:
Python: https://www.youtube.com/playlist?list=PLiC1doDIe9rCYWmH9wIEYEXXaJ4KAi3jc
R: https://www.youtube.com/playlist?list=PLiC1doDIe9rDjk9tSOIUZJU4s5NpEyYtE
To search for online courses, I recommend Class Central:
https://www.classcentral.com/