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University of Colorado Boulder - Data Acquisition, Risk, and Estimation 

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Data Acquisition, Risk, and Estimation
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Coursera 
Overview

Duration

8 hours

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Data Acquisition, Risk, and Estimation
 at 
Coursera 
Highlights

  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Intermediate Level Recommended prerequisite course: Defining, Describing and Visualizing Data. Algebra and Statistics.
  • Approx. 8 hours to complete
  • English Subtitles: English
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Data Acquisition, Risk, and Estimation
 at 
Coursera 
Course details

More about this course
  • Engineering and Business professionals often have access to many sources of data. The best way to way to ensure your data is both valid and reliable is to plan for it ahead of time. Through this class, you will be able to plan for accurate and precise data generation, then use that data for the purpose of estimation and risk reduction related to capital investments.
  • 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.
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Data Acquisition, Risk, and Estimation
 at 
Coursera 
Curriculum

Fundamentals of Sampling

Welcome to Acquisition, Risk and Estimation

Introduction to Fundamentals of Sampling

Sample Versus Population

Types of Sampling - Part 1

Types of Sampling - Part 2

Sampling Error

Random Sampling Distributions - Part 1

Random Sampling Distributions - Part 2

RSD of the Mean

The Central Limit Theorem

Solving Problems with the RSD of the Mean Part 1

Solving Problems with the RSD of the Mean Part 2

Welcome and Where to Find Help

Fundamentals of Sampling

Estimation

Introduction to Estimation

Estimators and Point Estimates

Interval Estimates

Confidence Interval for the Mean, Sigma Known

Confidence Interval for the Mean, Sigma Unknown

Confidence Interval for Variance / Standard Deviation

Confidence Interval for Proportion / Rate (Count)

Practice Activity 1

Practice Activities 2 and 3

Estimation

Best Case / Worst Case Analysis

Introduction to Best Case / Worst Case Analysis

Best / Worst Case Analysis Introduction and Step 1

Best / Worst Case Analysis Steps 2 and 3

Best / Worst Case Analysis Steps 4 and 5

Creating the table using RStudio

Visualization and Joint Probability

Best / Worst Case Example 1

Best / Worst Case Example 2 Part 1

Best / Worst Case Example 2 Part 2

Best / Worst Case Practice Quiz

Best Case / Worst Case Analysis

Foundations of Hypothesis Testing

Introduction to Foundations of Hypothesis Testing

Introduction to Hypothesis Testing

Testing Hypotheses

Significance Level, Risk, One-Two-Tailed Tests

Error and Power in Hypothesis Testing

Understanding Beta and Power

Calculating Beta and Power for Means

Calculating Beta and Power for Variance

Calculating Beta and Power for Proportions and Rates

Sample Size Calculations for Means

Sample Size Calculations for Variances

Sample Size Calculations for Proportions

Foundations of Hypothesis Testing

Essentials for Effect Size Calculations

Introduction to Essentials for Effect Size Calculations

Essentials for Effect Size Calculations

Risk Analysis - Implications of Decisions

Effect Size Calculation OSCD Example Part 1

Effect Size Calculation OSCD Example Part 2

Effect Size Calculation OSCD Example Part 3

Effect Size Calculation for the Mean Part 1

Effect Size Calculation for the Mean Part 2

Effect Size Calculation for the Mean Part 3

Effect Size Calculation for the Standard Deviation

Effect Size Calculation for the Proportion

Effect Size Practice Quiz

Essentials for Effect Size Calculations

Data Acquisition, Risk, and Estimation
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Data Acquisition, Risk, and Estimation
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