SCHARE Think-A-Thon

This webinar covers essential data preparation techniques for AI projects, including ways to visualize raw data, address outliers, detect and manage missing data, select variables fit for purpose, and encode variables using one-hot and label encoding methods.

We'll continue to review how to use the ScHARe Data Repository to host, manage, and share data with different privacy settings. Topics include:

• How to upload data
• How to create data tables and collections
• How to map data to ScHARe/PhenX Core Common Data Elements (CCDEs)

This session introduces basic principles of data cleaning and data management in the Python programming language. Designed for beginners, the session covers essential but simple skills that are essential for data science, such as how to:

• Upload data
• Create data tables and collections
• Map data to SCHARE/PhenX Core Common Data Elements (CCDEs)

Toward Goal 1: