A one-day intensive course on "Data Analysis Without Code" from the Data Analytics and Social Statistics Master's program

On April 25, from 10:00 AM to 5:00 PM, the Data Analytics and Social Statistics Master's program will hold an intensive course on no-code analytics tools. The course will be led by Egor Perekhozhev, Junior Research Fellow at the International Laboratory for Applied Network Research; Daniil Kovalev, Research Assistant at the laboratory; Irina Pavlova, PhD, Deputy Head of the laboratory and Academic Supervisor of the Master's program; and Anna Kartasheva, Research Fellow at the laboratory.

"Data Analysis Without Code" is a one-day intensive course that will immerse participants in modern data analysis methods without programming. Participants will learn how to explore various connections between people, publications, and ideas, as well as how to find patterns in tables and text data.

In the first part of the intensive course, we will explore network analysis: from maps of scientific publications and co-authorship to the analysis of real social connections using the no-code programs VOSviewer and Polinode.

In the second part, participants will try out machine learning and analysis methods, as well as text data visualization in the Orange environment. They will also learn about AI automation and how modern digital assistants work.

This intensive course will therefore cover various data types—networks, tables, and text—that can be analyzed using accessible no-code tools. It includes brief theory and practical examples to demonstrate the full data analysis process, from data collection to interpretation of results.

The course will be taught in Russian.

Registration is required to participate.