Foundations: Data, Data, Everywhere
Completed by Kimberly Sue Ackers
July 16, 2026
12 hours (approximately)
Kimberly Sue Ackers's account is verified. Coursera certifies their successful completion of Foundations: Data, Data, Everywhere
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 Processing
- Category: Data Sharing
- Category: Data Visualization
- Category: Tableau Software
- Category: Data Ethics
- Category: Spreadsheet Software
- Category: Data Cleansing
- Category: Data Visualization Software
- Category: Analytical Skills
- Category: Data Analysis
