Microcredential ekomex Introduction to Python
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This two-day online course provides you with the fundamental skills needed to make quantitative analyses on various datasets. You’ll learn the basics of collecting your own data from the internet, cleaning and preprocessing it, and finally analyzing it based on your research questions.
What Is This Course About?
The first day of the workshop will cover Python basics. You will get an introduction of the Jupyter Notebook, essential modules, data types, operators, conditional statements, functions, loops, compound data types, and comprehensions used in Python. This session concludes with hands-on exercises. In the afternoon, you’ll learn web scraping with practical exercises. The second day will focus on data analysis in social sciences using pandas with the Titanic dataset, creating visualizations using Matplotlib and Seaborn, and we’ll touch upon advanced techniques like principal component analysis, linear regression, and logistic regression. After each day you can work on assignments, for which you can get detailed feedback by the trainer.
Learning Goals
- Write and execute basic Python code for data manipulation using Jupyter Notebook,
- collect data from websites through web scraping techniques,
- clean, structure, and analyze datasets using the pandas library,
- create visualizations with Matplotlib and Seaborn to explore and present data,
- apply introductory statistical methods, including PCA, linear and logistic regression, to answer research questions.
Recommended Readings for the Course
- https://pythonbooks.org/think-python-how-to-think-like-a-computer-scientist/,
- this is a programming course. We prefer experience-based learning. You'll have to watch pre-recorded videos.
Assignments for the Course
- Daily assignments,
- homework.
Schedule
- 9:00-10:30h (partially asynchronous)
- Break
- 10:45-12:15h
- Lunch break
- 13:30-14:30h
- Office hour: 15:00-16:00 (both days)
Who Is Your Instructor?
Rebeka O’Szabo is an assistant professor at the Center for Collective Learning, Corvinus University of Budapest. She is the leader of the Organizational Dynamics Group. Rebeka holds a PhD in network science from the Central European University, and has a background in sociology. She has been researching organizational and team dynamics (in escape rooms). Rebeka’s main scientific interest covers social networks, teams, organizations, and applied social psychology.
https://rebekaoszabo.wixstudio.com/rebekaoszabo/
https://www.linkedin.com/in/rebekaoszabo/
Partner - komex
