- Analytics
- Data Analysis
- Google Sheets
- Data Cleansing
- Data-Driven Decision-Making
- Business Analytics
- Data Sharing
- Data Ethics
- Data Processing
- Data Visualization Software
- Data Visualization
- SQL
Foundations: Data, Data, Everywhere
Completed by Prajna Samhitha Nelupudi
February 4, 2024
12 hours (approximately)
Prajna Samhitha Nelupudi'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
