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Data Management with SQL

Data Management with SQL

Databases are useful for both storing and using data effectively. Using a relational database serves several purposes.

  • It keeps your data separate from your analysis. This means there’s no risk of accidentally changing data when you analyze it.
  • If we get new data we can rerun a query to find all the data that meets certain criteria.
  • It’s fast, even for large amounts of data.
  • It improves quality control of data entry (type constraints and use of forms in Access, Filemaker, etc.)
  • The concepts of relational database querying are core to understanding how to do similar things using programming languages such as R or Python.

This lesson will teach you what relational databases are, how you can load data into them and how you can query databases to extract just the information that you need.


This is a beginner-level workshop for researchers presented by OU Libraries. Our workshops cover better practices for research, data, coding, and communication. No prior experience is needed (i.e. no prerequisites).

Please bring a computer with DB Browser for SQLLite installed.

Registration is required to receive Zoom link.  The zoom link will be the same for both parts (May 5 and May 11).



 

Date:
Tuesday, May 4, 2021
Time:
9:00am - 12:30pm
Campus:
Bizzell Memorial Library
Categories:
  OU Libraries  
Registration has closed.