Data Exploration with Python and JupyterCompact course: Data Exploration with Python and Jupyter


This is a half day course.


No prior knowledge by the participants is necessary to participate in this course and it is intended for all scientific audiences. Participants are required to bring their own laptops to work on during the course. Network access (e.g. through Eduroam) is recommended.


Jupyter notebooks are a great tool for exploring and interacting with data using the Python programming language and its rich ecosystem of libraries. In this course we will cover basic usage of the Pandas library to download a dataset, explore its contents, clean up missing or invalid data, filter the data according to different criteria, and plot visualizations of the data.

Learning Objectives

After the course participants will be able to use a Jupyter notebook to

  • Explore a dataset
  • Filter the dataset
  • Clean up missing / invalid entries
  • Generate plots and visualizations of the data


There is an instance of this course scheduled: Signup for the next scheduled course

This is an on-demand course. You can indicate your interest in the course by signing up. Once a threshold of potential participants is met, we will get in touch with you to schedule the course. Please use the SSC Booking System to sign up.