Introduction to Python programming for Social Science

Dozentin

Dr. Orsolya Vásárhelyi (Teacher Assistent: Rebeka O. Szabó), assistant professor, Center for Collective Learning, CIAS; Institute of Data Analytics and Information Systems at Corvinus University in Budapest, Hungary

Course Topic

Python is one of the most popular programming languages of data science, used in natural language processing, machine learning, and artificial intelligence. This three-day Python programming course is for social scientists who want to learn how to analyze and visualize data with Python. No programming experience needed.

Course Objectives

The course aims to give a short introduction to data analysis using python, tailored for social scientists. The course gives a practical overview on the basic data types and structures in python with hands-on exercises. After learning the basic syntax, participants will focus on data analysis and visualization using the most popular python libraires pandas, seaborn and matplotlib.

Day 1. Introduction to python

Day 2. Data Analysis in pandas

Day 3. Data Visualization and Statistical Analysis

After finishing the course participants will be able to:

• Read different data formats into python.
• Perform data cleaning and data structuring.
• Generate descriptive statistics.
• Visualize data and comparing variables/metrics.
• Conduct multivariate statistical analysis.
• Reflect on potential data loss, and can identify signs of inaccurate data.

Working method in the course

Hands-on exercises and practical tips will help you start your journey in the world of Python. Every morning we will dive into a new topic, and in the afternoons, we will practice it in groups. Your own datasets are welcomed to be explored.

Course language

English

Requirements

No prior knowledge of Python is required, but a basic understanding of statistics is assumed.

«Introduction to Python programming for Social Science» ist Teil des folgenden Angebotes:
Methodenwoche

Leitung

• Dr. Orsolya Vásárhelyi
  assistant professor, Center for Collective Learning, CIAS; Institute of Data Analytics and Information Systems at Corvinus University in Budapest, Hungary

Dozierende

Dr. Orsolya Vásárhelyi, assistant professor, Center for Collective Learning, CIAS; Institute of Data Analytics and Information Systems at Corvinus University in Budapest, Hungary

Anmeldeschluss

Freitag, 18.4.2025

Daten und Ort(e)

Mo, 2.6.2025, 9.30–16.00 Uhr
Di, 3.6.2025, 9.30–16.00 Uhr
Mi, 4.6.2025, 9.30–16.00 Uhr

Online

Gebühren

CHF 400.–

Für Doktorierende CHF 300.–