Course Name | Start Date | Rating | |
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Principles of Computing (Part 1)
Coursera
7-10 hours a week
, 5 weeks long
7-10 hours a week
, 5 weeks long
/ /
|
||
|
Introduction to Data Science in Python
Coursera
31 hours worth of material
, 4 weeks long
31 hours worth of material
, 4 weeks long
/
|
||
|
Principles of Computing (Part 2)
Coursera
7-10 hours a week
, 4 weeks long
7-10 hours a week
, 4 weeks long
/ /
|
||
|
Algorithmic Thinking (Part 1)
Coursera
7-10 hours a week
, 4 weeks long
7-10 hours a week
, 4 weeks long
/ /
|
||
|
Bayesian Statistics
Coursera
36 hours worth of material
, 5 weeks long
36 hours worth of material
, 5 weeks long
/
|
||
|
Text Mining and Analytics
Coursera
5-10 hours a week
, 6 weeks long
5-10 hours a week
, 6 weeks long
/ /
|
||
|
Algorithmic Thinking (Part 2)
Coursera
7-10 hours a week
, 4 weeks long
7-10 hours a week
, 4 weeks long
/ /
|
||
|
Computational Neuroscience
Coursera
6-8 hours a week
, 8 weeks long
6-8 hours a week
, 8 weeks long
/ /
|
||
|
Data Visualization
Coursera
4-6 hours a week
, 4 weeks long
4-6 hours a week
, 4 weeks long
/ /
|
||
|
Nearest Neighbor Collaborative Filtering
Coursera
15 hours worth of material
, 4 weeks long
15 hours worth of material
, 4 weeks long
/
|
||
|
Cloud Computing Concepts: Part 2
Coursera
4-8 hours a week
, 5 weeks long
4-8 hours a week
, 5 weeks long
/ /
|
||
|
Cluster Analysis in Data Mining
Coursera
4-6 hours a week
, 4 weeks long
4-6 hours a week
, 4 weeks long
/ /
|
||
|
Qualitative Research Methods
Coursera
29 hours worth of material
, 8 weeks long
29 hours worth of material
, 8 weeks long
/
|
||
|
Probabilistic Graphical Models 1: Representation
Coursera
15-20 hours a week
, 5 weeks long
15-20 hours a week
, 5 weeks long
/ /
|
||
|
Advanced Linear Models for Data Science 1: Least Squares
Coursera
8 hours worth of material
, 6 weeks long
8 hours worth of material
, 6 weeks long
/
|
||
|
Advanced Algorithms and Complexity
Coursera
27 hours worth of material
, 5 weeks long
27 hours worth of material
, 5 weeks long
/
|
||
|
Basic Statistics
Coursera
27 hours worth of material
, 8 weeks long
27 hours worth of material
, 8 weeks long
/
|
||
|
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
Coursera
20 hours worth of material
, 4 weeks long
20 hours worth of material
, 4 weeks long
/
|
||
|
Analysis of Algorithms
Coursera
6-8 hours a week
, 9 weeks long
6-8 hours a week
, 9 weeks long
/ /
|
||
|
Approximation Algorithms Part I
Coursera
41 hours worth of material
, 5 weeks long
41 hours worth of material
, 5 weeks long
/
|
||
|
Machine Learning: Clustering & Retrieval
Coursera
17 hours worth of material
, 6 weeks long
17 hours worth of material
, 6 weeks long
/
|
||
|
Modeling Discrete Optimization
Coursera
5-10 hours a week
, 7 weeks long
5-10 hours a week
, 7 weeks long
/ /
|
||
|
Neural Networks for Machine Learning
Coursera
7-9 hours a week
, 16 weeks long
7-9 hours a week
, 16 weeks long
/
|
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