| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Probabilistic Graphical Models 1: Representation
Coursera
67 hours
67 hours
|
||
|
|
Machine Learning for Trading
Udacity
12 hours
12 hours
|
||
|
|
Data Mining with Weka | ||
|
|
Data Analysis with R
Udacity
23 hours
23 hours
|
||
|
|
Data Wrangling with MongoDB
Udacity
46 hours
46 hours
|
||
|
|
Introduction to Natural Language Processing
Coursera
12 weeks, 7-10 hours a week
12 weeks, 7-10 hours a week
|
||
|
|
Introduction to R for Data Science
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
||
|
|
Intro to Deep Learning
Udacity
12 weeks
12 weeks
|
||
|
|
Learning From Data (Introductory Machine Learning)
edX
10 weeks, 10-20 hours/week
10 weeks, 10-20 hours/week
|
||
|
|
Databases: Introduction to Relational Databases
edX
1 week, 5-10 hours/week
1 week, 5-10 hours/week
|
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