Data Acquisition, Risk, and Estimation

This course is part of The Data Driven Manager Specialization

Instructor: Wendy Martin

What you'll learn

  •   Create a plan to answer business and engineering questions.
  •   Calculate effect size, power and sample size to reduce risk in decision making.
  •   Distinguish between best- and worst-case scenarios given point and interval estimates.

    • Skills you'll gain

  •   Sample Size Determination
  •   Data Collection
  •   Business Risk Management
  •   Risk Analysis
  •   Return On Investment
  •   Data Analysis
  •   Project Estimation
  •   Probability & Statistics
  •   Statistical Analysis
  •   Estimation
  •   Sampling (Statistics)
  •   Statistical Methods
  •   Statistical Hypothesis Testing
  •   Statistical Software
  •   R Programming

    • There are 5 modules in this course

    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. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

    Estimation

    Best Case / Worst Case Analysis

    Foundations of Hypothesis Testing

    Essentials for Effect Size Calculations

    Explore more from Data Analysis

    Risk Identification, Monitoring, and Analysis

    Data Driven Decision Making

    Project Valuation and the Capital Budgeting Process

    Defining, Describing, and Visualizing Data

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