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

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Data Analytics in the Public Sector with R SpecializationUniversity of Michigan

About this Course

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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, you will work with authentic public datasets, and all programming can be completed in RStudio on the Coursera platform without additional software.

This is the first 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.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 4 in the

Data Analytics in the Public Sector with R Specialization

Intermediate Level

Approx. 14 hours to complete

English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 4 in the

Data Analytics in the Public Sector with R Specialization

Intermediate Level

Approx. 14 hours to complete

English

Instructors

Christopher Brooks

Assistant Professor

School of Information

785,906 Learners

14 Courses

Paula Lantz

James B. Hudak Professor of Health Policy

Gerald R. Ford School of Public Policy

3,498 Learners

4 Courses

Offered by

University of Michigan

Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Week 1 | Introduction to Data Analytics in the Public Sector with R

3 hours to complete

5 videos (Total 36 min), 6 readings, 1 quiz

5 videos

Welcome from the University of Michigan!5mWhat is the Public Sector & What are Public Goods/Services?6mData Science and Data Analytics: An Introduction6mWhat Does Public Administration & Public Policy Mean? 9mIntroduction to RStudio7m

6 readings

Course Syllabus15mHelp Us Learn About You10mCourse Glossary of Terms5mMeaning and Significance of Data Analytics for the Public Sector20m7 Reasons for Policy Professionals to Get into R Programming20mWeek 1 Optional Readings & Resources7m

1 practice exercise

Week 1 Quiz: Introduction to Data Analytics in the Public Sector with R15m

Week2

Week 2

3 hours to complete

Week 2 | Core Functions of Public Administration and R Basics

3 hours to complete

13 videos (Total 83 min), 3 readings, 2 quizzes

13 videos

General Organization of Government Bureaucracies5mExamples of Government Bureaucracies6mCore Functions of Public Administration: Planning, Organizing, Staffing, & Directing6mCore Functions of Public Administration: Coordinating, Reporting, & Budgeting5mApplications of Data Analytics to Public Administration Functions10mGetting Started with R: The Basics6mGetting started with R: The Basics of Vectorized Language7mGetting started with R: Attributes of Data8mExploring R Dataframes: Columns as Variables6mUsing Vectors to Select and Analyze Data6mExploring R Dataframes: Dealing with Missing Values Through Boolean Masking7mExploring R Dataframes: Creating Statistics from Cleaned Dataframe3mOne More Thing for This Week!3m

3 readings

POSDCORB: Important 7 Steps, Functions, Strength, Criticism20mRStudio Cheat Sheet15mWeek 2 Optional Readings & Resources7m

2 practice exercises

Getting Started With R: Practice & Knowledge Check20mWeek 2 Quiz: Getting Started With R30m

Week3

Week 3

4 hours to complete

Week 3 | Survey Data Analysis with the Tidyverse

4 hours to complete

14 videos (Total 111 min), 2 readings, 4 quizzes

14 videos

Survey Data Analytics: Importance, Types and Examples of Survey Data Analytics in the Public Sector8mWhat Analysts Need to Know About Survey Designs & Types8mWhat Analysts Need to Know About Survey Deployment4mWhat Analysts Need to Know in Understanding Survey Data | Part 19mWhat Analysts Need to Know in Understanding Survey Data | Part 21mExample: Reading a Codebook13mExample: Dashboards9mExample of a Codebook: The Behavioral Risk Factor Surveillance System4mData Manipulation with dplyr: Tidyverse & Exploring the Data9mData Manipulation with dplyr: Pipe Operator & Adding Variables8mData Manipulation with dplyr: Formulas in R5mData Analysis: Grouping by Variable10mData Analysis: Grouping by Multiple Variables6mOne More Thing for This Week!8m

2 readings

Required Resources Needed Ahead30mWeek 3 Optional Readings & Resources7m

4 practice exercises

Survey Data Analytics Knowledge Check10mWhat Analysts Need to Know: Knowledge Check10mData Manipulation: Practice & Knowledge Check20mWeek 3 Quiz: Analysis Skills for Survey Data30m

Week4

Week 4

2 hours to complete

Week 4 | Population Data Analysis with Custom R functions

2 hours to complete

7 videos (Total 61 min), 1 reading, 4 quizzes

7 videos

Importance of Population Data Analytics & the Three Main Demographic Processes9mPopulation Data Analytics: Key Population Data Sources3mPopulation Data Analytics: The Answer to a Basic Population Question7mCreating Custom Analytics10mApplying Custom Analytics to Groups4mWriting Functions10mAlternative Analytics for TDR14m

1 reading

Week 4 Optional Readings & Resources7m

4 practice exercises

Generating & Interpreting Population Data20mCustom Analytics: Practice & Knowledge Check2mRStudio Function for Data Analysis: Practice & Knowledge Check20mWeek 4 Quiz: Analysis Skills for Population Data30m

Reviews

4.7

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5 stars
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4 stars
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TOP REVIEWS FROM FUNDAMENTALS OF DATA ANALYTICS IN THE PUBLIC SECTOR WITH R

by KLJan 10, 2023

Instructors get 5 stars. Content gets 4.5. The 4 star rating due to some issues with the answer key/grading and some of the R assignments expected more knowledge than that presented.

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About the Data Analytics in the Public Sector with R Specialization

Every government entity collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data.

This Specialization will equip you with fundamental technical skills using the R programming language to gather, manipulate, analyze, visualize, and interpret data to inform public policy and public administrative functions. Throughout four courses, you will gain new skills using the popular tidyverse packages, such as dplyr for data manipulation and ggplot for visualization. You will identify and address common political and ethical challenges in data analysis, and better understand public administration and public policy concepts using hands-on activities with real-world data sets. This course series is ideal for current or early-career professionals in the public sector looking to gain skills in analyzing public data effectively. There are no prerequisites, though programming experience, ideally with the R language, and basic applied statistics knowledge are recommended. The Google Data Analytics Professional Certificate offers such foundational skills. You will earn a dual badge when you complete the Google Career Certificate and this Specialization. All coursework is completed in RStudio in Coursera without the need to install additional software

Data Analytics in the Public Sector with R

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Fundamentals of Data Analytics in the Public Sector with R

About this Course