Foundations: Data, Data, Everywhere
Completed by Melvyn Diaz Jaime
January 11, 2026
12 hours (approximately)
Melvyn Diaz Jaime'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: Data Processing
- Category: SQL
- Category: Data Analysis
- Category: Spreadsheet Software
- Category: Data-Driven Decision-Making
- Category: Analytics
- Category: Data Visualization
- Category: Data Ethics
- Category: Tableau Software
- Category: Data Sharing
- Category: Analytical Skills
- Category: Data Visualization Software
