| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Introduction to Logic
Coursera
1 day 23 hours 9 minutes
1 day 23 hours 9 minutes
|
||
|
|
Algorithms, Part I
Coursera
54 hours
54 hours
|
||
|
|
Algorithms, Part II
Coursera
63 hours
63 hours
|
||
|
|
Gamification
Coursera
17 hours
17 hours
|
||
|
|
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
15 hours 25 minutes
15 hours 25 minutes
|
||
|
|
Practical Time Series Analysis
Coursera
1 day 1 hour 58 minutes
1 day 1 hour 58 minutes
|
||
|
|
Introduction to Enumerative Combinatorics
Coursera
8 weeks
8 weeks
|
||
|
|
Practical Deep Learning For Coders
Independent
7 weeks, 10 hours a week
7 weeks, 10 hours a week
|
||
|
|
Introduction to Probability and Data with R
Coursera
14 hours 35 minutes
14 hours 35 minutes
|
||
|
|
Introduction to Deep Learning
Coursera
18 hours 22 minutes
18 hours 22 minutes
|
||
|
|
Pricing Strategy
Coursera
12 hours 46 minutes
12 hours 46 minutes
|
||
|
|
Understanding Japanese Philosophy
FutureLearn
5 weeks, 2 hours a week
5 weeks, 2 hours a week
|
||
|
|
Introduction to Genetics and Evolution
Coursera
1 day 1 hour 34 minutes
1 day 1 hour 34 minutes
|
||
|
|
Algorithms: Design and Analysis, Part 2
Coursera
7 weeks, 6-10 hours a week
7 weeks, 6-10 hours a week
|
||
|
|
Understanding economic policymaking
Coursera
17 hours
17 hours
|
||
|
|
The Analytics Edge
edX
13 weeks, 10-15 hours/week
13 weeks, 10-15 hours/week
|
||
|
|
Using Python to Access Web Data
Coursera
18 hours 45 minutes
18 hours 45 minutes
|
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