In this course, you’ll learn how to respond to key business needs using data, such as understanding churned customers, pricing, customer ratings, etc. You’ll learn to work with ambiguous, imprecise, and subjective data — the “fuzzy” side of data — to present key business metrics like churn rate and net promoter score.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll also apply your skills to a guided project involving a realistic business scenario to build your portfolio and prepare for your next interview.
- Resolving fuzzy language in a business context
- Defining the key business metrics
- Measuring business performance
- Communicating with a non-technical audience
Data Analysis for Business in Python [4 lessons]
Projects in this course
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