University of Michigan
Assisting Public Sector Decision Makers With Policy Analysis
University of Michigan

Assisting Public Sector Decision Makers With Policy Analysis

This course is part of Data Analytics in the Public Sector with R Specialization

Taught in English

Some content may not be translated

Christopher Brooks
Paula Lantz

Instructors: Christopher Brooks

2,955 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(16 reviews)

Intermediate level
Some related experience required
16 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply data analysis techniques to the core public sector principles of efficiency, effectiveness, and equity

  • Develop analytical skills commonly used to analyze and assess policies and programs

  • Answer questions policymakers ask such as “What should we do?” and “Did it work?”

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Assessments

12 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(16 reviews)

Intermediate level
Some related experience required
16 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Data Analytics in the Public Sector with R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 5 modules in this course

Welcome to the third course in the Data Analytics in the Public Sector with R Certificate— Assisting Public Sector Decision Makers with Data and Policy Analysis. This week, you will begin to develop a competent understanding of different Policy Frameworks and Types of Policy Analyses. You will also get to recognize the important role of data analytics in the policy analysis process.

What's included

8 videos4 readings2 quizzes2 discussion prompts1 ungraded lab

Welcome to Week 2! This week will be your introduction to Prospective Policy Analysis to develop analytical skills to choose appropriate policy options, and develop skills in forecasting and policy simulation methods. You will learn first the steps in the policy options analysis process and then dive deeper into inferential statistical analysis in R.

What's included

7 videos3 quizzes

Welcome to Week 3! This week you will continue learning about Prospective Policy Analysis to develop analytical skills to choose appropriate policy options, and develop skills in forecasting and policy simulation methods. You will learn about policy microsimulation modeling through authentic examples and case studies.

What's included

9 videos1 reading2 quizzes1 discussion prompt

Welcome to Week 4! This week you will dive into program and policy evaluation. You will learn first the basics of policy and program evaluation, the fundamentals of research design—the core of program evaluation, and the different research designs for you can use for program evaluation.

What's included

15 videos2 readings4 quizzes

Welcome to Week 5, the last week in this course! This week you will learn about the Quasi-Experimental Research Designs for program and policy evaluation. You will learn the basics of Time-Series Design and develop specific skills for data analytics.

What's included

6 videos2 readings1 quiz

Instructors

Christopher Brooks
15 Courses850,415 learners
Paula Lantz
University of Michigan
5 Courses12,338 learners

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Recommended if you're interested in Governance and Society

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4.8

16 reviews

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Reviewed on Jun 12, 2023

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