THE MOST
POPULAR FREE, ONLINE COURSE
“Online Course Report” have provided a brief description
of the 50 free, most popular MOOCs (Massive Open Online Courses) of all time
(see list below). Topping the list is “Learning How To Learn: Powerful mental
tools to help you master tough subjects” taught by Dr. Barbara Oakley,
University of Oakland and Dr. Terrence Sejnowski, Salk Institute for Biological
Studies. This is one of two courses that
have attracted more than a million enrollees.
WHAT TO EXPECT
This course should take four weeks to complete—about 2
hours or more each week. By the time you complete the course, you’ll have gained valuable learning techniques used by experts in the subjects such as: art, music, literature, math,
science, sports, etc. Using these approaches, you can learn
to master any topic. If you’ve ever wanted to become better at anything, this
course will be helpful in achieving that goal.
IS IT REALLY
FREE?
·
You may take this course for free, have
access to all course materials, but will not receive certification
·
If you want to earn a Certificate, you will have
to purchase the course for $49 USD
SUPPLEMENTARY
COURSE TEXTS
To be extra prepared, the book “A Mind for Numbers”
should help, but it is not required.
The book is available in many different languages, editions, and
locations worldwide. It’s a New York Times science best-seller and should give
you the foundations you need to learn in any discipline.
COURSE CONTENT
·
Week 1: What is Learning? The two
different modes of operation of our brain, etc. 14 videos, 4 readings, 1 quiz;
·
Week 2: Chunking (Chunks are compact
packages of information that our mind can easily access). How to form chunks; how
to use chunks to improve our understanding and creativity; how chunks can help
us do better on tests; etc. 12 videos, 1 reading, 2 quizzes;
·
Week 3: Procrastination and Memory.
Memory & chunking, short-term memory, long term memory, handling
procrastination, best ways to access our brain’s most powerful long-term memory
systems, etc. 15 videos, 1 reading, 3 quizzes;
·
Week 4: Renaissance Learning and Unlocking
Your Potential. Important ideas and techniques that will enhance our
ability to learn, etc. 16 videos, 2 readings, 2 quizzes.
WHY IT IS
IMPORTANT TO STUDY THIS COURSE
·
You will be more effective within your studies in any course
·
You will be able to teach your students and
family members to be more effective learners
·
You should be able to pass courses that you
previously considered too difficult
TO ACCESS THE
COURSE
MOST POPULAR, FREE,
ONLINE COURSES - THE TOP FIFTY
1. Learning
How To Learn: Powerful mental tools to help you master tough subjects (All-time,
total enrollment number: 1 192 697; Platform through which course offered:
Coursera; Institution homepage: UC San Diego)
2. Machine
Learning (1 122 031, Coursera, Stanford University)
3. R
Programming (952 414, Coursera, John Hopkins University)
4. Introduction
to Finance (846 654, Coursera, University of Michigan)
5. The
Data Scientist’s Toolbox (828 837, Coursera, Johns Hopkins University)
6. Think
Again: How to Reason and Argue (775 717, Coursera, Duke University)
7. Algorithms:
Part 1 (751 089, Coursera, Princeton University)
8. Developing
Innovative Ideas for New Companies: The First Step in Entrepreneurship (736
347, Coursera, University of Maryland)
9. Understanding
IELTS: Techniques for English Language Tests (690 567, FutureLearn, British
Council)
10. Programming
Mobile Applications for Android Handheld Systems – Part 1 (678 451, Coursera,
University of Maryland)
11. Cryptography
I (674 404, Coursera, Stanford)
12. Programming
for Everybody / Getting Started with Python (657 068, Coursera, Michigan
University)
13. Social
Psychology (645 568, Coursera, Wesleyan University)
14. Introduction
to Public Speaking (616 208, Coursera, University of Washington)
15. Model
Thinking (582 200, Coursera, University of Michigan)
16. An
Introduction to Interactive Programming in Python (581 043, Coursera, Rice
University)
17. Introduction
to Philosophy (550 000+, Coursera, University of Edinburgh)
18. Algorithms:
Design and Analysis, Part 1 (548 631, Coursera, Stanford University)
19. Introduction
to Computer Science (515 476, Udacity, n/a)
20. Inspiring
Leadership through Emotional Intelligence (494 369, Coursera, Case Western
Reserve)
21. Game
Theory (474 148, Coursera, Stanford University/ University of British
Columbia)
22. Calculus
1 (454 410, Coursera, Ohio State University)
23. Competitive
Strategy (430 582, Coursera, Ludwig-Maximilians-Universitat Munchen (LMU))
24. Write101x:
English Grammar and Style (414 432, Edx, University of Queensland)
25. IELTSx:
IELTS Academic Test Preparation (355 026, Edx, University of Queensland)
26. Introduction
to Computer Science (348 476, edX, Harvard University)
27. Exploring
English: Language and Culture (326 093, FutureLearn, British Council)
28. Think101x:
The Science of Everyday Thinking (304 694, Edx, University of Queensland)
29. Data
Analysis and Statistical Inference (291 703, Coursera, Duke University)
30. Gamification
(approx. 286 000, Coursera, University of Pennsylvania/ Wharton)
31. Circuits
and Electronics (229 813, edX, MIT)
32. Creativity,
Innovation and Change (approx. 220 000, Coursera, Penn State)
33. A
Beginner’s Guide to Irrational Behavior (217 322, Udacity, n/a)
34. Web
Development: How to Build a Blog (217 322, Udacity, n/a)
35. Learn
to Program: The Fundamentals (198 566, Coursera, University of Toronto)
36. Greek
and Roman Mythology (approx. 180 000, Coursera, University of Pennsylvania)
37. Startup
Engineering (170 305, Coursera, Stanford University)
38. Computational
Investing, Part I (approx. 170 000, Coursera, Georgia Institute of
Technology)
39. Financial
Markets (161 959, Coursera, Yale University)
40. Introduction
to Artificial Intelligence (approx. 160,000, Udacity, Stanford University)
41. Introduction
to Computer Science and Programming (157 431, edX, MIT)
42. Introduction
to Financial Accounting (155 516, Coursera, University of Pennsylvania /
Wharton)
43. Modern
& Contemporary American Poetry (approx. 140 000, Coursera, University
of Pennsylvania)
44. Data
Analysis (approx. 102 000, Coursera, Johns Hopkins Bloomberg School)
45. Introduction
to Computer Science and Programming Using Python (98 688, edX, MIT)
46. The
Future of Storytelling (92 957, iversity, University of Applied Sciences
Potsdam)
47. Science
and Cooking: From Haute Cuisine to Soft Matter Science (92 045, edX,
Harvard University)
48. Introduction
to Philosophy: God, Knowledge, and Consciousness (89 183, edX, MIT)
49. Introduction
to Operations Management (approx. 87 000, Coursera, University of
Pennsylvania / Wharton)
50. Introduction
to Mathematical Thinking (86 230, Coursera, Stanford University)
REFERENCE
Posted by Dr. Nat Tuivavalagi
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