- Data Cleansing
- Data Processing
- Data-Driven Decision-Making
- Analytical Skills
- Google Sheets
- Tableau Software
- SQL
- Data Analysis
- Spreadsheet Software
- Data Ethics
- Data Visualization
- Data Collection
Foundations: Data, Data, Everywhere
Completed by Rahul Raghavendra Kulkarni
January 2, 2022
12 hours (approximately)
Rahul Raghavendra Kulkarni'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
