Course · Intermediate
Data Analysis for Business in Python
In this course, you'll learn how to work with data in a business context. While the role of data scientist and data analyst is technical, you will need to collaborate effectively with non-technical coworkers. By the end, you'll understand the key business metrics organizations use - and how to successfully communicate the results of your analysis.
- Intermediate friendly
- 6 hrs
- 3 lessons
- 1 project
- Premium
Course overview
Translate ambiguous business questions into measurable metrics and analyses, addressing churn, pricing, and customer behavior with Python.
What's inside
3 lessons · 1 project
- 01 68 minFuzzy Language in Data Science
Explore the use of fuzzy language with an ad-hoc request.
- 02 107 minCommunicating Results
Learn about the organizational context behind data science and how to communicate effectively.
- 03 91 minBusiness Metrics
Learn about business metrics by exploring the net promoter score and churn rates.
- 04 42 minGuided Project: Popular Data Science Questions Project
For this project, you'll work for a data science content company. Using SQL and Python, you'll analyze Data Science Stack Exchange data to identify the most popular topics and guide the creation of in-demand content.
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