- Google Sheets
- Data Processing
- Data Analysis
- Data-Driven Decision-Making
- Data Sharing
- Spreadsheet Software
- Analytics
- Analytical Skills
- Data Cleansing
- Business Analytics
- Data Ethics
- Data Collection
Foundations: Data, Data, Everywhere
Completed by Danielle Gandt-McFadden
July 14, 2024
12 hours (approximately)
Danielle Gandt-McFadden'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
