Foundations: Data, Data, Everywhere
Completed by Crystal Lynn Roper
October 14, 2024
12 hours (approximately)
Crystal Lynn Roper'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
- Category: Tableau Software
- Category: Data Sharing
- Category: Data Visualization Software
- Category: Data Processing
- Category: SQL
- Category: Data Analysis
- Category: Spreadsheet Software
- Category: Data Cleansing
- Category: Data-Driven Decision-Making
- Category: Data Ethics
- Category: Data Visualization
- Category: Analytical Skills
