Course Overview

The course is on the introduction of network analysis with the help of tutorials. Here the tutorial will be based on the use of the NetworkX library. Initially the course will start with the understanding of the concept of network analysis and its operations. Followed by this will be the motivation for why one should model phenomena as networks. Next step in the course will be exploring the ways of measuring the importance of the node of the network. Lastly the final week of the course will be about the exploration of the change and advancement in the networks with the passage of time. Furthermore, it will also cover the models of network generation and the problems of predictions.

What you'll learn

• Graph Theory
• Network Analysis
• Python Programming
• Social Network Analysis
• Learn about techniques of Applied Social Network Analysis in approximately 26 hours.

Requirements

• Basic knowledge of data science.
• A computer or laptop with internet connectivity.
• Flexible work schedule.

AccessTo Career Resources with Applied Social Network Analysis in Python Course

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Enhanced Employability:

An outstanding Applied Social Network Analysis in Python Program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of Applied Social Network Analysis skills in Python confirms that you can complete all related tasks.

Networking Opportunities:

Managing Applied Social Network Analysis in Python courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.