- Data Cleansing
- Spreadsheet Software
- Data Management
- Data Analysis
- Data Ethics
- Data Processing
- Data-Driven Decision-Making
- Data Visualization
- Google Sheets
- Analytical Skills
- Data Sharing
- Data Visualization Software
Foundations: Data, Data, Everywhere
Completed by Kimberly Neal
November 28, 2022
12 hours (approximately)
Kimberly Neal'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
