Mastering the technical skills required to do data analysis can be a real challenge. But in a business context, completing the analysis is only half the battle. Once you've finished your number-crunching, you've got to communicate your results — often to an audience that doesn't have much technical or statistical background.

In this mission of our Data Analysis in Business course, we'll dive into the details of how you can execute and then clearly communicate the results of a data analysis project in a business context. 

We'll start by learning about organizational structures, and then dive into a quick sample project so you can practice your data analysis skills. Then, we'll take a look at the results of your project and how you can ensure you're communicating them clearly to stakeholders so that your analysis has real impact.

Objectives

  • Learn about the business context of data science
  • Learn to communicate with non-technical audiences
  • Learn about prototyping and the business workflow

Lesson Outline

  1. Business Context
  2. The Scenario
  3. Cleaning the Data
  4. Removing Duplicates
  5. Exploring the Price
  6. Price vs. Rating
  7. Price vs. Category and Genres
  8. Results and Impact
  9. Communicating Your Work I
  10. Communicating Your Work II
  11. Business Workflow
  12. Next Steps
  13. Takeaways