Data tidying in Python with pandas – ONLINE

Data tidying in Python with pandas – ONLINE

  • 15/02/2022
    9:00 am - 1:00 pm

Course details

statistics course | level: intermediate | register now
for questions related to this event, contact
affiliation: KU Leuven


This half-day course (4h) gives you an introduction to the tools available to wrangle and to tidy your data in Python, using the pandas library.
It is important to become familiar with the data tidying process and all of the tools available to make your data more suitable for analysis. This course provides a basic introduction to wrangling and tidying data in Python using ‘pandas’, which is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool.
In the final part, you will put into practice what you've learned during the course to be able to import and to clean your own messy dataset. If you don’t have your own messy database, an example of messy dataset will be provided for you to practice.

Course overview:
• Start with raw data;
• Data wrangling;
• Data tidying process;
• Practical session & cleaning your own (or provided) messy database.

The course does not cover statistics, data mining, machine learning techniques or big data.
The aim is to provide researchers with the tools necessary to efficiently wrangling and tidying data with Python using pandas.


This course is NOT an introductory courses to Python. This means that you MUST already know how to code in Python.
Spyder IDE will be used (together with the Anaconda Distribution).

Background readings


PhDs and postdocs of a Flemish university: 0 € -> register with ticket: "PhD & postdocs of Flemish universities"
Other academics & non-profit/Social sector: 75 € -> register with ticket: "Other (paying participants)"
Private sector: 200 € -> register with ticket: "Other (paying participants)"
If the appropriate ticket is sold out, please register on the waiting list with the ticket: "Waiting list (Register here if tickets are sold out)". Do not register with another ticket because your registration will not be correct.




Cristina Cametti

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