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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Data Analytics in the Public Sector with R
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Spezialisierung Data Analytics in the Public Sector with RUniversity of MichiganÜber diesen Kurs
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The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Lehrplan - Was Sie in diesem Kurs lernen werden
Week 1 | Policy Frameworks & Types of Policy Analysis
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.
Week 2 | Prospective Policy Analysis: What Should We Do?—Part 1
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.
Week 3 | Prospective Policy Analysis: What Should We Do?—Part 2
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.
Week 4 | Program/Policy Evaluation: Did it Work?—Part 1
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.
Über den Spezialisierung Data Analytics in the Public Sector with R
Every government entity — from local municipalities to national agencies — collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions for the public good. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data.
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