Online intensive course "Introduction to Exploratory Data Analysis"
From June 1–3, the online master's program "Data Analytics and Social Statistics" held a three-day intensive course on exploratory data analysis.
The intensive was held by
Irina Pavlova
Международная лаборатория прикладного сетевого анализа: Заместитель заведующего лабораторией
Быстрова Анастасия Владимировна
The intensive course was led by Mikhail Meshkov, Anastasia Bystrova, and Irina Pavlova, team members of the International Laboratory for Applied Network Research.
This intensive course introduces the fundamentals of data analysis and applied statistics to beginning researchers and analysts. Participants learned the theoretical foundations of statistics, measurement scales, data formats, and the key analysis tools—R and Python.
Special attention was paid to critical reading of data and visualizations: how to interpret graphs, recognize statistical biases, and avoid common pitfalls in analysis. The practical portion includes mastering the basic syntax of R and Python, working with dataframes, importing data, conducting exploratory analysis, and constructing initial visualizations to find insights.
Intensive course program
01.06.2026. Topic 1. Theoretical foundations and data visualization
| 18:00–18:45 | Intensive Course Opening. About the Data Analytics and Applied Statistics Program | Irina Pavlova, ANR-Lab |
| 18:45–19:00 | Break | |
| 19:00–19:45 | History of statistics. Measurement scales. Data formats. Comparison of R and Python. | Mikhail Meshkov, ANR-Lab |
| 19:45–20:00 | Break | |
| 20:45–20:45 | How Charts and Numbers Mislead: Statistical Illusions with Simple Examples for Beginner Analysts. | Irina Pavlova, ANR-Lab |
02.06.2026. Topic 2. Data analysis in Python
| 18:00–18:45 | Python and Pandas Basics: Working with DataFrames. | Anastasia Bystrova, ANR-Lab |
| 18:45–19:00 | Break | |
| 19:00–19:45 | Exploratory analysis and basic visualization: finding insights in data. | Anastasia Bystrova, ANR-Lab |
03.06.2026. Topic 3. Data analysis in R
| 19:00–19:45 | R basics: syntax, data types, vectors, lists, and dataframes. Importing data from various formats. | Mikhail Meshkov, ANR-Lab |
| 19:45–20:00 | Break | |
| 20:00–20:45 | Exploratory analysis and basic visualization: finding insights in data. | Mikhail Meshkov, ANR-Lab |
| 20:45–21:05 | Closing of the intensive course | Irina Pavlova, ANR-Lab |
A video recording of the intensive course is available here.
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.