| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Leaders of Learning
edX
10 weeks, 2-4 hours/week
10 weeks, 2-4 hours/week
|
||
|
|
Product Design: The Delft Design Approach
edX
7 weeks, 6-8 hours/week
7 weeks, 6-8 hours/week
|
||
|
|
Data to Insight: An Introduction to Data Analysis and Visualisation
FutureLearn
8 weeks
8 weeks
|
||
|
|
Decision Making in a Complex and Uncertain World
FutureLearn
6 weeks, 6 hours a week
6 weeks, 6 hours a week
|
||
|
|
Mining Massive Datasets
edX
7 weeks, 5-10 hours/week
7 weeks, 5-10 hours/week
|
||
|
|
Process Mining: Data science in Action
Coursera
22 hours
22 hours
|
||
|
|
Effective Problem-Solving and Decision-Making
Coursera
8 hours 27 minutes
8 hours 27 minutes
|
||
|
|
Digital Marketing: Customer Engagement Strategy
Coursera
12 hours 37 minutes
12 hours 37 minutes
|
||
|
|
Success - Strategies for Goal Achievement
Canvas Network
9 weeks, 5-7 hours a week
9 weeks, 5-7 hours a week
|
||
|
|
High-Dimensional Data Analysis
edX
4 weeks, 2-4 hours/week
4 weeks, 2-4 hours/week
|
||
|
|
Introduction to Linear Models and Matrix Algebra
edX
4 weeks, 2-4 hours/week
4 weeks, 2-4 hours/week
|
||
|
|
Programming for Data Science
edX
10 weeks, 8-10 hours/week
10 weeks, 8-10 hours/week
|
||
|
|
Analytics in Python
edX
12 weeks, 8-10 hours/week
12 weeks, 8-10 hours/week
|
||
|
|
Business Analytics for Data-Driven Decision Making
edX
7 weeks, 3-6 hours a week
7 weeks, 3-6 hours a week
|
||
|
|
Machine Learning Fundamentals
edX
10 weeks, 8-10 hours/week
10 weeks, 8-10 hours/week
|
||
|
|
Introduction to Analytics Modeling
edX
16 weeks, 8-10 hours/week
16 weeks, 8-10 hours/week
|
||
|
|
Data, Models and Decisions in Business Analytics
edX
12 weeks, 8-10 hours/week
12 weeks, 8-10 hours/week
|
||
|
|
Product Management with Lean, Agile and System Design Thinking
edX
7 weeks, 4-8 hours a week
7 weeks, 4-8 hours a week
|
||
|
|
Platform Strategy for Business
edX
6 weeks, 4-8 hours a week
6 weeks, 4-8 hours a week
|
||
|
|
Philosophy of Technology and Design: Shaping the Relations Between Humans and Technologies
FutureLearn
3 weeks, 4 hours a week
3 weeks, 4 hours a week
|
||
|
|
Understanding Information and Technology Today
FutureLearn
5 weeks, 2 hours a week
5 weeks, 2 hours a week
|
||
|
|
More Data Mining with Weka
FutureLearn
5 weeks, 4 hours a week
5 weeks, 4 hours a week
|
||
|
|
The Science and Practice of Yoga
edX
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
||
|
|
Modelling with Differential Equations
edX
6 weeks, 4-5 hours/week
6 weeks, 4-5 hours/week
|
||
|
|
edX
8 weeks, 3-4 hours/week
8 weeks, 3-4 hours/week
|
||
|
|
Statistical Machine Learning | ||
|
|
Using Creative Problem Solving
FutureLearn
4 weeks, 3 hours a week
4 weeks, 3 hours a week
|
||
|
|
Web Security Fundamentals
edX
5 weeks, 4-6 hours/week
5 weeks, 4-6 hours/week
|
||
|
|
Introduction to Kubernetes
edX
14 weeks, 2-3 hours/week
14 weeks, 2-3 hours/week
|
||
|
|
Startup School
Independent
10 weeks
10 weeks
|
||
|
|
Systems Thinking and Complexity
FutureLearn
2 weeks, 2 hours a week
2 weeks, 2 hours a week
|
||
|
|
The Architectural Imagination
edX
10 weeks, 3-5 hours/week
10 weeks, 3-5 hours/week
|
||
|
|
AWS Developer: Building on AWS
edX
6 weeks, 3-4 hours/week
6 weeks, 3-4 hours/week
|
||
|
|
Data Analysis: Basic Probability and Statistics
edX
7 weeks, 3-5 hours/week
7 weeks, 3-5 hours/week
|
||
|
|
Design Thinking and Creativity for Innovation
edX
10 weeks, 8-10 hours/week
10 weeks, 8-10 hours/week
|
||
|
|
Mindfulness and Resilience to Stress at Work
edX
4 weeks, 1-2 hours/week
4 weeks, 1-2 hours/week
|
||
|
|
Data Science: Computational Thinking with Python
edX
5 weeks, 4-6 hours a week
5 weeks, 4-6 hours a week
|
||
|
|
Data Science: Machine Learning and Predictions
edX
6 weeks, 4-6 hours a week
6 weeks, 4-6 hours a week
|
||
|
|
Data Science: Inferential Thinking through Simulations
edX
5 weeks, 4-6 hours a week
5 weeks, 4-6 hours a week
|
||
|
|
Introduction to Web Cartography: Part 1
edX
6 weeks, 2-4 hours/week
6 weeks, 2-4 hours/week
|
||
|
|
The Science of Well-Being
Coursera
12 hours 21 minutes
12 hours 21 minutes
|
||
|
|
Data Science:Â Productivity Tools
edX
8 weeks, 1-2 hours/week
8 weeks, 1-2 hours/week
|
||
|
|
Data Science: Building Machine Learning Models
edX
8 weeks, 2-4 hours/week
8 weeks, 2-4 hours/week
|
||
|
|
Microservices - Fundamentals
Coursera
4 weeks, 1-2 hours a week
4 weeks, 1-2 hours a week
|
||
|
|
Exploring Emerging Technologies for Lifelong Learning and Success
Coursera
3 hours 47 minutes
3 hours 47 minutes
|
||
|
|
Mathematics for Machine Learning: PCA
Coursera
20 hours 39 minutes
20 hours 39 minutes
|
||
|
|
Augmented Reality, Virtual Reality, and Mixed Reality: Opportunities and Issues Teach-Out
Coursera
2 weeks
2 weeks
|
||
|
|
Management and Leadership: Planning Your Personal Development
FutureLearn
4 weeks, 3 hours a week
4 weeks, 3 hours a week
|
||
|
|
Practical Machine Learning on H2O
Coursera
1 day 1 hour 6 minutes
1 day 1 hour 6 minutes
|
||
|
|
Observation Theory: Estimating the Unknown
edX
6 weeks, 4-6 hours/week
6 weeks, 4-6 hours/week
|
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