About this Course

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Learner Career Outcomes

34%

started a new career after completing these courses

37%

got a tangible career benefit from this course

23%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 29 hours to complete
English

Skills you will gain

Graph TheoryNetwork AnalysisPython ProgrammingSocial Network Analysis

Learner Career Outcomes

34%

started a new career after completing these courses

37%

got a tangible career benefit from this course

23%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 29 hours to complete
English

Instructor

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(2,295 ratings)Info
Week
1

Week 1

7 hours to complete

Why Study Networks and Basics on NetworkX

7 hours to complete
5 videos (Total 48 min), 3 readings, 2 quizzes
5 videos
Network Definition and Vocabulary9m
Node and Edge Attributes9m
Bipartite Graphs12m
TA Demonstration: Loading Graphs in NetworkX8m
3 readings
Course Syllabus10m
Help us learn more about you!10m
Notice for Auditing Learners: Assignment Submission10m
1 practice exercise
Module 1 Quiz50m
Week
2

Week 2

7 hours to complete

Network Connectivity

7 hours to complete
5 videos (Total 55 min)
5 videos
Distance Measures17m
Connected Components9m
Network Robustness10m
TA Demonstration: Simple Network Visualizations in NetworkX6m
1 practice exercise
Module 2 Quiz50m
Week
3

Week 3

6 hours to complete

Influence Measures and Network Centralization

6 hours to complete
6 videos (Total 70 min)
6 videos
Betweenness Centrality18m
Basic Page Rank9m
Scaled Page Rank8m
Hubs and Authorities12m
Centrality Examples8m
1 practice exercise
Module 3 Quiz50m
Week
4

Week 4

9 hours to complete

Network Evolution

9 hours to complete
3 videos (Total 51 min), 3 readings, 2 quizzes
3 videos
Small World Networks19m
Link Prediction18m
3 readings
Power Laws and Rich-Get-Richer Phenomena (Optional)40m
The Small-World Phenomenon (Optional)1h 20m
Post-Course Survey10m
1 practice exercise
Module 4 Quiz50m

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

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