Live training

Exploring World Cup Data in Python

In this live training we will use a combination of SQL and Python to import, process, and analyze data on previous world cups. How well do South American teams perform on other continents? Which countries do really well overall except when pitted against particular opponents? Join this session to answer these questions and more!

Tuesday, November 15, 11 am ET
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What will I learn?

You will learn how to:
  • Join data from multiple tables in a SQL database
  • Perform exploratory analysis in Python
  • Visualize geospatial data using Python

What should I prepare?

We will be using DataCamp Workspace. Other than a DataCamp account, you don’t need anything. If you are part of specific enterprise groups, you may not yet be able to use DataCamp Workspace. You can create a free DataCamp account with your personal email address to follow along.

Who should attend?

We recommend that you have taken the following course before attending:

  • Visualizing Geospatial Data in Python
  • Data Manipulation with pandas
  • Data Manipulation in SQL

Presenter Bio

Filip Schouwenaars Headshot

Filip Schouwenaars

VP of Engineering - Workspace

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace. Under the motto 'Eat your own dog food', he uses the techniques DataCamp teaches its students to understand how users learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.
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