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University of Colorado Boulder

The Data Driven Manager

University of Colorado Boulder via Coursera Specialization


Limited-Time Offer: Up to 75% Off Coursera Plus!
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In the Data Driven Manager specialization, you will learn how to first understand the type of data that you have (or want to generate), then describe it with numbers and graphs to communicate with your audience. You will practice using probability and distributions to understand the underlying nature of your data to make decisions and solve problems in a way that increases the likelihood of a desired outcome. You will learn the steps to create a plan to answer business and engineering questions and reduce risk when making decisions. You’ll study how to determine best- and worst-case scenarios using data. Finally, you’ll acquire data analysis skills to answer business and engineering questions that will help you make appropriate decisions. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at


Course 1: Defining, Describing, and Visualizing Data
- Offered by University of Colorado Boulder. As leaders in your chosen field, you need to not only know how to ask the right questions but ... Enroll for free.

Course 2: Data Acquisition, Risk, and Estimation
- Offered by University of Colorado Boulder. Engineering and Business professionals often have access to many sources of data. The best way to ... Enroll for free.

Course 3: Data Driven Decision Making
- Offered by University of Colorado Boulder. Once we have generated data, we need to answer the research question by performing an appropriate ... Enroll for free.


Taught by

Wendy Martin


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