About this Course

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Shareable Certificate
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100% online
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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 Theory
  • Network Analysis
  • Python Programming
  • Social Network Analysis
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 29 hours to complete
English

Offered by

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University of Michigan

Start working towards your Master's degree

This course is part of the 100% online Master of Applied Data Science from University of Michigan. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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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

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