Continuing Education Courses

In just one month, participants will master network analysis methodology for use in their research projects.

This is the first advanced training program in applied network analysis in the Russian educational market. Network analysis is a powerful tool for studying the relationships between elements in various systems.

Course Topics
1. Introduction to Network Analysis
2. Bibliometric Network Analysis
3. Organizational Research and Network Analysis
4. Social Media and Network Analysis
5. Techniques and Tools for Network Analysis and Presentation of Network Research Results

After completing the course, you will learn how to identify important network metrics and interpret the influence of network participants, find communities, identify problems in resource flows, and analyze emerging trends in your research areas.

The programme is built on the practical use of AI technologies for solving research tasks.

During the course you will:

• Learn about trends, opportunities and barriers to the use of AI, including legal and ethical issues.
• Understand how to apply AI in everyday research practices:
  • Automation of data collection and processing;
  • Formulation of research hypotheses;
  • Robotic surveys;
  • Data transcription;
  • Analysis, interpretation of data;
  • Formulation of questionnaire or survey questions;
  • Search for relevant materials and literature on the research topic.
• Gain skills in using AI tools to solve research problems and gain insight into how AI tools are designed. 

The specialization is intended for a wide audience of business analysts seeking to expand their toolkit with the latest analytical methods.
The specialization consists of four courses:

• Contemporary Data Analysis: Survey and Best Practices
• Network Analysis
• Introduction to Text Mining with R
• Business Analytics: Diversity of Practical Applications

At the end of the training, all participants receive a certificate of mastery of the specialization.