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学生对 University of Michigan 提供的 Assisting Public Sector Decision Makers With Policy Analysis 的评价和反馈

4.7
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49 个评分

课程概述

Develop data analysis skills that support public sector decision-makers by performing policy analysis through all phases of the policymaking process. You will learn how to apply data analysis techniques to the core public sector principles of efficiency, effectiveness, and equity. Through authentic case studies and data sets, you will develop analytical skills commonly used to analyze and assess policies and programs, including policy options analysis, microsimulation modeling, and research designs for program and policy evaluation. You will also learn intermediate technical skills, such as Chi-squared tests and contingency tables, comparing samples through t-tests and ANOVA, applying Tukey's honest significant difference to correct for multiple tests, understanding p-values, and visualizing simulations of statistical functions to help answer questions policymakers ask such as “What should we do?” and “Did it work?” In addition, you will practice statistical testing and create ggplot visuals for two real-world datasets using the R programming language. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the third of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector....

热门审阅

HO

Mar 4, 2026

Learning with Paula Lantz was an exciting experience; her teaching made even difficult topics feel easy to understand.

VN

Jun 12, 2023

Great refresher of methods for policy analysis with very educational and practical cases. Would be interesting to have some more in-depth videos on the statistics.

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1 - Assisting Public Sector Decision Makers With Policy Analysis 的 16 个评论（共 16 个）

创建者 Ian B S

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Aug 11, 2023

This course was very good at getting you to think through how data analytics can actually be applied. This course serves as a good complement to both the other courses in the specialization and also other data analytics credentials.

创建者 Muniba F A

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Feb 6, 2024

re commended

创建者 Viktor D N

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Jun 13, 2023

Great refresher of methods for policy analysis with very educational and practical cases. Would be interesting to have some more in-depth videos on the statistics.

创建者 Hussein O

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Mar 4, 2026

Learning with Paula Lantz was an exciting experience; her teaching made even difficult topics feel easy to understand.

创建者 Loganayagi S

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Mar 19, 2026

good but some hard question

创建者 Ramesh K

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Mar 10, 2026

good for knowledge

创建者 Hafidh . H

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Sep 7, 2024

Totally helpful!

创建者 Renuka R K ( )

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Apr 9, 2026

Excellent

创建者 Ghodke R R

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Apr 4, 2026

very good

创建者 Harbhajan S

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Apr 10, 2026

good

创建者 Arun K Y

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Apr 6, 2026

good

创建者 Astik P S

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Apr 3, 2026

good

创建者 Palani A

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Mar 17, 2026

nice

创建者 Rajendra P Y

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Apr 5, 2026

bad

创建者 7ab67f78-fbcd-4de0-9ea5-a825c26b9216 a

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Mar 27, 2026

Satisfactory

创建者 DEEPAK M B

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Apr 5, 2026

good