Hands-on learning experience
Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers
Learn MoreLearn 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.
Key takeaways:
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
Materials:
Workspace Architect at DataCamp
Learn to install common tools to work with Python, including Anaconda and git.
Hands-on session: What is DataCamp Workspace, and how can you use it?
Hate wrangling data in spreadsheets? SQL does it better.
Companies using DataCamp achieve course completion rates 6X higher than traditional online course providers
Learn More