- Data Collection
- Tableau Software
- Analytical Skills
- Analytics
- SQL
- Data Sharing
- Data-Driven Decision-Making
- Data Cleansing
- Data Ethics
- Data Processing
- Google Sheets
- Data Visualization Software
Foundations: Data, Data, Everywhere
Completed by Kimberly Hewitt�
February 7, 2024
12 hours (approximately)
Kimberly Hewitt� '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
