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Course Description

Gain a working knowledge of essential data analysis platforms — including spreadsheets, SQL, Tableau and R programming — and when to use them in the data lifecycle. You will also develop an understanding of how to translate a business question into a data analysis exercise and to distill findings into actionable takeaways.

Course Outline

1. Foundations: Data, Data, Everywhere

2. Ask Questions to Make Data-Driven Decisions

3. Prepare Data for Exploration

4. Process Data from Dirty to Clean

5. Analyze Data to Answer Questions

6. Share Data Through the Art of Visualization

7. Data Analysis with R Programming

8. Google Data Analytics Capstone: Complete a Case Study

Learner Outcomes

  • Data types and structures
  • Using data to solve problems
  • How to analyze data for insights
  • Data storytelling with visualizations
  • Using R programming to supercharge your analysis
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