Description

Overview:

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.

Subject:

Computer Science, Information Science, Measurement and Data

Level:

Graduate / Professional

Material Type:

Module

Author:

Christina Koch, Donal Heidenblad, Katy Felkner, Rémi Rampin, Timothée Poisot

Provider:

The Carpentries

Date Added:

03/20/2017