Technical skill is required to work in the field of data science, but data analyst and data scientist roles are not purely technical. A data professional must be able to function effectively in the broader context of a business. 

Working with data in a business context means communicating and collaborating with non-technical coworkers. It means understanding the metrics that are important to your business and how to measure them. 

In this course, we're going to dive into the "fuzzy" side of doing data science, and learn about how data professionals can function effectively in a modern business environment.

In this course, you will:

  • Learn how to deal with fuzzy language
  • Learn about the business context in which data science happens
  • Learn how to communicate with a non-technical audience
  • Learn about business metrics

Data Analysis in Business Course Catalog

Fuzzy Language in Data Science

Nebulous language is common in business — learn how to deal with it.

Communicating Results

Learn about how to communicate your results effectively for business.

Business Metrics

Learn about the types of analyses that'll help you impact a company's bottom line.

Guided Project: Popular Data Science Questions

Dig into some real-world data analysis business questions in this guided portfolio project.