Course Name | Start Date | Rating | |
---|---|---|---|
|
Nutrition, Exercise and Sports
edX
6 weeks, 4-8 hours a week
6 weeks, 4-8 hours a week
|
||
|
Probability - The Science of Uncertainty and Data
edX
16 weeks, 10-14 hours a week
16 weeks, 10-14 hours a week
|
||
|
Statistical Learning with R
edX
11 weeks, 3-5 hours a week
11 weeks, 3-5 hours a week
|
||
|
Matrix Algebra for Engineers
Coursera
19 hours 31 minutes
19 hours 31 minutes
|
||
|
Queuing Theory: from Markov Chains to Multi-Server Systems
edX
5 weeks, 3-4 hours a week
5 weeks, 3-4 hours a week
|
||
|
Maximum Entropy Methods
Complexity Explorer
1 hour
1 hour
|
||
|
Introduction to Renormalization
Complexity Explorer
1 hour
1 hour
|
||
|
Delivery Problem
Coursera
13 hours 23 minutes
13 hours 23 minutes
|
||
|
Intro to Descriptive Statistics
Udacity
8 weeks
8 weeks
|
||
|
Intro to Inferential Statistics
Udacity
8 weeks
8 weeks
|
||
|
Introduction to Linear Models and Matrix Algebra
edX
4 weeks, 2-4 hours a week
4 weeks, 2-4 hours a week
|
||
|
Linear Algebra - Foundations to Frontiers
edX
15 weeks, 6-10 hours a week
15 weeks, 6-10 hours a week
|
||
|
Sports Injury Prevention
edX
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
||
|
Intro to Statistics
Udacity
8 weeks
8 weeks
|
||
|
Basic Statistics
Coursera
1 day 2 hours 45 minutes
1 day 2 hours 45 minutes
|
||
|
Bayesian Statistics
Coursera
1 day 10 hours 38 minutes
1 day 10 hours 38 minutes
|
||
|
Linear Regression and Modeling
Coursera
10 hours 18 minutes
10 hours 18 minutes
|
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