MISSION 468

Business Metrics in Data Science

Businesses track their health and growth through the use of metrics. Consequently, as a data professional, you'll often be tasked with investigating, analyzing, and predicting important business metrics. 

In this mission of our Data Analysis in Business course, we're going to take a closer look at business metrics. We'll investigate what makes a good metric, and then we'll explore a couple of common business scenarios.

Specifically, you'll work with a company's Net Promoter Score (NPS) to analyze customer satisfaction. Then, you'll dig into customer churn rates, an important metric for subscription-based businesses.

By the end of the mission, you'll have a solid grasp of what makes a good metric, and you'll have some experience working with common business metrics to find meaningful insights.

Objectives

  • Learn about some common business metrics
  • Work with Net Promoter Scores
  • Analyze customer churn rates

Mission Outline

  1. Business Metrics
  2. What's a Good Metric?
  3. Introduction to the Net Promoter Score
  4. Net Promoter Score
  5. Analyzing NPS
  6. Customer Churn
  7. Data Wrangling
  8. Churn Rate
  9. Investigating Churn
  10. Analyzing Churn
  11. Next Steps
  12. Takeaways

Course Info:

Beginner

The median completion time for this course is 6 hours. View Details

This course requires a premium subscription and includes three missions and one guided project.  It is the 15th course in the Data Analyst in Python path.

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