- Data Analysis
- Data Collection
- Data-Driven Decision-Making
- Data Sharing
- Data Visualization
- Tableau Software
- Analytics
- Google Sheets
- Data Visualization Software
- Data Ethics
- Business Analytics
- Data Cleansing
Foundations: Data, Data, Everywhere
Completed by Shelly-Ann McFarlane
May 16, 2023
12 hours (approximately)
Shelly-Ann McFarlane'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
