- Spreadsheet Software
- Data Analysis
- Data Ethics
- Data Processing
- Business Analytics
- Data-Driven Decision-Making
- Tableau Software
- Google Sheets
- Analytical Skills
- Data Collection
- SQL
- Analytics
Foundations: Data, Data, Everywhere
Completed by Karl McQuilla-Pyles
January 31, 2024
12 hours (approximately)
Karl McQuilla-Pyles'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
