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The Data Driven Manager Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Drive Operational Improvement with Data with The Data Driven Manager Specialization offered by Coursera in partnership with University of Colorado Boulder.

Overview

In The Data Driven Manager Specialization 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. 

Key facts

  • 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. 
  • The courses in this specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. 
  • The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. 
  • With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience.

Skills you'll gain

  • Probability And Statistics
  • Data-Informed Decision-Making
  • Data Analysis
  • Problem Solving
  • Data Visualization
  • Estimation
  • Statistical Inference
  • Business Analysis
  • Engineering Decision Making

Programme Structure

Courses include:

  • Defining, Describing, and Visualizing Data
  • Data Acquisition, Risk, and Estimation
  • Data Driven Decision Making

Key information

Duration

  • Part-time
    • 1 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic 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.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

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.

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