Live training

Analyzing Olympics Data with SQL and Python

Learn how to leverage the power of DataCamp Workspace by combining Python and SQL to load data from different sources, combine them, and perform exploratory analyses. This training will use an Olympics dataset and then enrich it with country details from a SQL database. Learners will then explore the data, uncovering interesting insights and creating interactive visualizations. This training is geared towards learners with some background in SQL and some introductory knowledge of Python. It is recommended that they take Joining Data in SQL and Data Manipulation with pandas prior to attending the session.

Wednesday, June 22, 11:00 AM ET
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Python

What will I learn?

You will learn how to:

  • Combine different data sources using SQL & Python using Workspace
  • Perform basic exploratory analysis using pandas
  • Learn how to use Plotly to easily create interactive visualizations

What should I prepare?

The code-along will be done in DataCamp Workspace, so no downloads or installs are required. Registering on DataCamp before the session is recommended. (A free account is sufficient.)

Who should attend?

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

  • Data Manipulation with pandas
  • Joining Data in SQL

Presenter Bio

Justin Saddlemyer Headshot

Justin Saddlemyer

Workspace Architect

Justin is a Workspace Architect at DataCamp. He holds a bachelor's degree in psychology from St. Francis Xavier University and a graduate degree in social psychology from VU Amsterdam. In 2016 Justin received a Ph.D. in marketing from KU Leuven.
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