Data Manipulation

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Data Manipulation

This competency examines and applies data manipulation techniques to prepare data for analysis. Students will identify how and why data manipulation is important to the role of data scientists and perform data preparation (remove duplicates, recoding, filtering, and formatting) on a provided dataset. Students will also apply analysis techniques on prepared data set using Pivot Charts and summarize data with Pivot Tables.

Earning Criteria

- Complete the module with a score of 80% or better
OR
- Complete the UMBC course equivalent with a final grade of C or better

Jeremiah Thomas Sawyer

Assistant Director, Internships & Employment

Career Center

Math & Psychology 203

jsawyer2@umbc.edu

+1 410 455 2391