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DataCamp Network Analysis in Python Part 1

Created/Published/Taught by:
Eric Ma
Hugo Bowne-Anderson
Yashas Roy

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Free? Partially: Some Free Content, Some Paid

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$0.00 - $29.00

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From DataCamp:

“From online social networks such as Facebook and Twitter to transportation networks such as bike sharing systems, networks are everywhere, and knowing how to analyze this type of data will open up a new world of possibilities for you as a Data Scientist. This course will equip you with the skills to analyze, visualize, and make sense of networks. You’ll apply the concepts you learn to real-world network data using the powerful NetworkX library. With the knowledge gained in this course, you’ll develop your network thinking skills and be able to start looking at your data with a fresh perspective!”

This course consists of four chapters:

  1. Introduction to networks
  2. Important nodes
  3. Structures
  4. Bringing it all together

Part 2 of this course can be found here: Network Analysis in Python (Part 2).

Recommended Prerequisites: Intro to Python for Data Science, Intermediate Python for Data Science, Python Data Science Toolbox (Parts 1 & 2)

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