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Fundamentals of Data Analytics in the Public Sector with R

University of Michigan via Coursera

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Overview

Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics. Throughout the course,...

Syllabus

  • Week 1 | Introduction to Data Analytics in the Public Sector with R
    • Welcome to the Data Analytics in the Public Sector with R and the First CourseFundamentals of Public Sector Data Analysis with R. This week will be your orientation to the certificate and the first course. You will also get to learn several fundamental terms and their definitions that we will frequently use throughout the course and the certificate.
  • Week 2 | Core Functions of Public Administration and R Basics
    • Welcome to Week 2! You will start this week learning about the core functions of public administration and the role of data analytics in these functions. You will also start developing your skills with RStudio.
  • Week 3 | Survey Data Analysis with the Tidyverse
    • Welcome to Week 3! You will learn this week several analysis skills for survey dataone of the most common types of data in the public sector. These skills will allow you to not only understand how survey data could be designed and collected, but also how to analyze such data in RStudio and how to interpret them.
  • Week 4 | Population Data Analysis with Custom R functions
    • Welcome to Week 4! You will learn this week several analysis skills for population dataone of the most common types of data in the public sector that allow answering basic population questions. These skills will allow you to not only understand the sources of population data, but also how to analyze such data in RStudio and how to interpret them.
  • Week 5 | Public Sector Data Analytics in Practice
    • Welcome to Week 5, the last week in this course! This week, you will get to hear stories from public sector data analysts, with the goal of recognizing the challenges associated with the profession of a data analyst.
Fundamentals of Data Analytics in the Public Sector with R
Go to Class

University of Michigan via Coursera

14 hours 32 minutes

Paid Certificate Available

English

On-Demand

Intermediate

Instructor

Christopher Brooks

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