Overview
In The Data Driven Manager course offered by Coursera in partnership with University of Colorado Boulder, 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.
Applied Learning Project
You will have the opportunity to work on practical, real-world problems that simulate the challenges and scenarios you'll encounter in a professional setting. These problems will not only help reinforce what you've learned but also give you a chance to apply your new skills and knowledge in a practical context.
Skills You Will Gain:
- Probability And Statistics
- Data-Informed Decision-Making
- Data Analysis
- Problem Solving
- Data Visualization
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Visit programme websiteProgramme Structure
Courses include:
- Defining, Describing, and Visualizing Data
- Data Acquisition, Risk, and Estimation
- Data Driven Decision Making
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Business Intelligence Data Analytics View 177 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner level
- Recommended experience: Algebra is recommended. It is recommended that learners complete the courses in order.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.