| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
A Beginner’s Guide to Data Analytics
FutureLearn
3 weeks, 3 hours a week
3 weeks, 3 hours a week
|
||
|
|
FutureLearn
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
||
|
|
Machine Learning for Marketers
Coursera
21 hours 57 minutes
21 hours 57 minutes
|
||
|
|
NLP – Machine Learning Models in Python
Coursera
8 hours 40 minutes
8 hours 40 minutes
|
||
|
|
Predictive Analytics: Basic Modeling Techniques
edX
4 weeks, 5-7 hours a week
4 weeks, 5-7 hours a week
|
||
|
|
AI Technology for Marketing Optimization
edX
3 weeks, 3-5 hours a week
3 weeks, 3-5 hours a week
|
||
|
|
Data Analytics Foundations: A Beginner’s Guide
edX
3 weeks, 2-3 hours a week
3 weeks, 2-3 hours a week
|
||
|
|
Software Testing, Deployment, and Maintenance Strategies
Coursera
13 hours 44 minutes
13 hours 44 minutes
|
||
|
|
Predictive Analytics
edX
7 weeks, 4-5 hours a week
7 weeks, 4-5 hours a week
|
||
|
|
Data Science: Inference and Modeling
edX
8 weeks, 1-2 hours a week
8 weeks, 1-2 hours a week
|
||
|
|
Data Science: Building Machine Learning Models
edX
8 weeks, 2-4 hours a week
8 weeks, 2-4 hours a week
|
||
|
|
Big Data Analytics
edX
10 weeks, 8-10 hours a week
10 weeks, 8-10 hours a week
|
||
|
|
Predictive Analytics
Swayam
6 weeks
6 weeks
|
||
|
|
Analytics for Decision Making
edX
4 weeks, 4-6 hours a week
4 weeks, 4-6 hours a week
|
||
|
|
Learning Analytics Tools
Swayam
12 weeks
12 weeks
|
||
|
|
Introduction to Python Programming
Coursera
1 day 3 hours 35 minutes
1 day 3 hours 35 minutes
|
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