Foundations: Data, Data, Everywhere
Completed by Christopher Brown-Tesis
March 22, 2026
12 hours (approximately)
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What you will learn
Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
Describe the role of a data analyst with specific reference to jobs.
Skills you will gain
- Category: Analytics
- Category: SQL
- Category: Data Visualization
- Category: Data Sharing
- Category: Data Analysis
- Category: Tableau Software
- Category: Data Ethics
- Category: Analytical Skills
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Spreadsheet Software
- Category: Data Cleansing
