University of Michigan - Fundamentals of Data Analytics in the Public Sector with R
- Offered byCoursera
Fundamentals of Data Analytics in the Public Sector with R at Coursera Overview
Duration | 15 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Fundamentals of Data Analytics in the Public Sector with R at Coursera Highlights
- Earn a Certificate upon completion
Fundamentals of Data Analytics in the Public Sector with R at Coursera Course details
- 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
Fundamentals of Data Analytics in the Public Sector with R at Coursera Curriculum
Week 1
Introduction to Data Analytics in the Public Sector with R
Welcome from the University of Michigan!
What is the Public Sector & What are Public Goods/Services?
Data Science and Data Analytics: An Introduction
What Does Public Administration & Public Policy Mean?
Introduction to RStudio
Course Syllabus
Help Us Learn About You
Course Glossary of Terms
Meaning and Significance of Data Analytics for the Public Sector
7 Reasons for Policy Professionals to Get into R Programming
Week 1 Optional Readings & Resources
Week 1 Quiz: Introduction to Data Analytics in the Public Sector with R
Week 2
Core Functions of Public Administration and R Basics
General Organization of Government Bureaucracies
Examples of Government Bureaucracies
Core Functions of Public Administration: Planning, Organizing, Staffing, & Directing
Core Functions of Public Administration: Coordinating, Reporting, & Budgeting
Applications of Data Analytics to Public Administration Functions
Getting Started with R: The Basics
Getting started with R: The Basics of Vectorized Language
Getting started with R: Attributes of Data
Exploring R Dataframes: Columns as Variables
Using Vectors to Select and Analyze Data
Exploring R Dataframes: Dealing with Missing Values Through Boolean Masking
Exploring R Dataframes: Creating Statistics from Cleaned Dataframe
One More Thing for This Week!
POSDCORB: Important 7 Steps, Functions, Strength, Criticism
RStudio Cheat Sheet
Week 2 Optional Readings & Resources
Getting Started With R: Practice & Knowledge Check
Week 2 Quiz: Getting Started With R
Week 3
Survey Data Analysis with the Tidyverse
Survey Data Analytics: Importance, Types and Examples of Survey Data Analytics in the Public Sector
What Analysts Need to Know About Survey Designs & Types
What Analysts Need to Know About Survey Deployment
What Analysts Need to Know in Understanding Survey Data
Part 1
What Analysts Need to Know in Understanding Survey Data
Part 2
Example: Reading a Codebook
Example: Dashboards
Example of a Codebook: The Behavioral Risk Factor Surveillance System
Data Manipulation with dplyr: Tidyverse & Exploring the Data
Data Manipulation with dplyr: Pipe Operator & Adding Variables
Data Manipulation with dplyr: Formulas in R
Data Analysis: Grouping by Variable
Data Analysis: Grouping by Multiple Variables
One More Thing for This Week!
Required Resources Needed Ahead
Week 3 Optional Readings & Resources
Survey Data Analytics Knowledge Check
What Analysts Need to Know: Knowledge Check
Data Manipulation: Practice & Knowledge Check
Week 3 Quiz: Analysis Skills for Survey Data
Week 4
Population Data Analysis with Custom R functions
Importance of Population Data Analytics & the Three Main Demographic Processes
Population Data Analytics: Key Population Data Sources
Population Data Analytics: The Answer to a Basic Population Question
Creating Custom Analytics
Applying Custom Analytics to Groups
Writing Functions
Alternative Analytics for TDR
Week 4 Optional Readings & Resources
Generating & Interpreting Population Data
Custom Analytics: Practice & Knowledge Check
RStudio Function for Data Analysis: Practice & Knowledge Check
Week 4 Quiz: Analysis Skills for Population Data
Week 5
Public Sector Data Analytics in Practice
Day to Day Role of Public Health Data: Interview with Joneigh Khaldun
Interview with Javed Ali (Part 1): National Security & Government Bureaucracy
Interview with Javed Ali (Part 2): The Role of Data in National Security as a Public Good
One More Thing for This Week: Congratulations!
Course Survey
Final Quiz
Fundamentals of Data Analytics in the Public Sector with R at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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