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.
Fundamentals of Data Analytics in the Public Sector with R
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Fundamentals of Data Analytics in the Public Sector with R
This course is part of Data Analytics in the Public Sector with R Specialization
Instructors: Christopher Brooks
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4.7
(32 reviews)
Intermediate level
Some related experience required
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand key terms and concepts in public administration, public policy
Learn foundational techniques using the R programming language
Create custom functions to analyze population data commonly found in public sector analytics
Skills you'll gain
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Assessments
12 assignments
Taught in English
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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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There are 5 modules in this course
Welcome to the Data Analytics in the Public Sector with R and the First Course—Fundamentals 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.
What's included
5 videos7 readings1 assignment1 discussion prompt1 ungraded lab
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.
What's included
13 videos3 readings2 assignments1 discussion prompt
Welcome to Week 3! You will learn this week several analysis skills for survey data—one 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.
What's included
14 videos2 readings4 assignments
Welcome to Week 4! You will learn this week several analysis skills for population data—one 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.
What's included
7 videos1 reading4 assignments
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.
What's included
4 videos1 reading1 assignment2 discussion prompts
Instructors
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4.6 (8 ratings)15 Courses888,339 learners
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University of Michigan
University of Michigan
University of Michigan
University of Michigan
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