Data Analysis Foundations Course

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What Will You Learn?

Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystem
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/positions

About This Course

Provider: Coursera
Format: Online
Duration: 22 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: After completing this free course, you'll be equipped to apply for introductory-level jobs as data analysts.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Google
Key Topics: Data Analysis, SQL, Data Visualization (DataViz), Data Cleansing, Spreadsheet
Topic Covered: 
  1. - Introduction to the course
  2. - Data analytics in everyday life
  3. - Cassie: Dimensions of data analytics
  4. - What is the data ecosystem? 
  5. - How data informs better decisions
  6. - Discovering data skill sets
  7. - Key data analyst skills
  8. - All about thinking analytically 
  9. - Exploring core analytical skills
  10. - Using data to drive successful outcomes 
  11. - Real-world data magic
  12. - Learning about data phases and tools
  13. - Stages of the data life cycle
  14. - Six phases of data analysis
  15. - Molly: Example of the data process
  16. - Exploring data analyst tools•
  17. - The ins and outs of core data tools
  18. - Columns and rows and cells, oh my!
  19. - SQL in action
  20. - Everyday struggles when learning new skills
  21. - Becoming a data viz whiz
  22. - The power of a visualization
  23. - The job of a data analyst
  24. - Path to becoming a data analyst
  25. - Supporting careers in data analytics
  26. - The power of data in business

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