Applied Social Network Analysis in Python, Certificate | Part time online | Coursera | United States
2 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
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About

The Applied Social Network Analysis in Python course offered by Coursera in partnership with University of Michigan is part of the Applied Data Science with Python Specialization.

Visit the Visit programme website for more information

Overview

The Applied Social Network Analysis in Python course offered by Coursera in partnership with University of Michigan will introduce the learner to network analysis through tutorials using the NetworkX library. 

The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. 

The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. 

This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

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

Programme Structure

Courses included:

  • Why Study Networks and Basics on NetworkX
  • Network Connectivity
  • Influence Measures and Network Centralization
  • Network Evolution

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate level
  • Some related experience required

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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