| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Python Programming: Intermediate Concepts
edX
5 weeks, 2-3 hours a week
5 weeks, 2-3 hours a week
|
||
|
|
Data Science: R Basics
edX
8 weeks, 1-2 hours a week
8 weeks, 1-2 hours a week
|
||
|
|
Data Science: Visualization
edX
8 weeks, 1-2 hours a week
8 weeks, 1-2 hours a week
|
||
|
|
Mining Massive Datasets
edX
7 weeks, 5-10 hours a week
7 weeks, 5-10 hours a week
|
||
|
|
Process Mining: Data science in Action
Coursera
22 hours
22 hours
|
||
|
|
Data Analytics in Health – From Basics to Business
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
||
|
|
Udacity
3 weeks
3 weeks
|
||
|
|
Data Science and Agile Systems for Product Management
edX
4 weeks, 2-3 hours a week
4 weeks, 2-3 hours a week
|
||
|
|
Advanced Data Mining with Weka
Independent
5 weeks
5 weeks
|
||
|
|
Data Mining with Weka | ||
|
|
Data Analysis and Statistical Inference | ||
|
|
Data Analysis with R
Udacity
23 hours
23 hours
|
||
|
|
Probability - The Science of Uncertainty and Data
edX
16 weeks, 10-14 hours a week
16 weeks, 10-14 hours a week
|
||
|
|
Spatial Data Science: The New Frontier in Analytics
Independent
6 weeks, 2-3 hours a week
6 weeks, 2-3 hours a week
|
||
|
|
Big Data Analysis with Apache Spark
edX
4 weeks, 5-10 hours a week
4 weeks, 5-10 hours a week
|
||
|
|
Computational Methods for Data Analysis
Coursera
10 weeks, 10-12 hours a week
10 weeks, 10-12 hours a week
|
||
|
|
Python for Data Science
Swayam
4 weeks
4 weeks
|
||
|
|
Python for Data Science
edX
10 weeks, 8-10 hours a week
10 weeks, 8-10 hours a week
|
||
|
|
The Analytics Edge
edX
13 weeks, 10-15 hours a week
13 weeks, 10-15 hours a week
|
||
|
|
More Data Mining with Weka
Independent
5 weeks
5 weeks
|
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