About this Course

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Learner Career Outcomes

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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

What you will learn

  • Represent and manipulate networked data using the NetworkX library

  • Analyze the connectivity of a network

  • Measure the importance or centrality of a node in a network

  • Predict the evolution of networks over time

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%(2,660 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
Week
2

Week 2

7 hours to complete

Network Connectivity

7 hours to complete
5 videos (Total 55 min)
Week
3

Week 3

6 hours to complete

Influence Measures and Network Centralization

6 hours to complete
6 videos (Total 70 min)
Week
4

Week 4

9 hours to complete

Network Evolution

9 hours to complete
3 videos (Total 51 min), 4 readings, 2 quizzes

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

Frequently Asked Questions

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