Assisting Public Sector Decision Makers With Policy Analysis

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

Instructors: Christopher Brooks +1 more

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?”

    • Skills you'll gain

  •   Public Policies
  •   R Programming
  •   Data Analysis
  •   Time Series Analysis and Forecasting
  •   Analytical Skills
  •   Data-Driven Decision-Making
  •   Policy Analysis
  •   Statistical Hypothesis Testing
  •   Policy Development
  •   Statistical Methods
  •   Research Design
  •   Program Evaluation
  •   Statistical Analysis
  •   Forecasting

    • There are 5 modules in this course

    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.

    Week 2 | Prospective Policy Analysis: What Should We Do?—Part 1

    Week 3 | Prospective Policy Analysis: What Should We Do?—Part 2

    Week 4 | Program/Policy Evaluation: Did it Work?—Part 1

    Week 5 | Program/Policy Evaluation: Did it Work?—Part 2

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