University of Michigan
Data Analytics in the Public Sector with R Specialization

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University of Michigan

Data Analytics in the Public Sector with R Specialization

Using Data to Inform Public Policy. Learn data analytics skills using the R programming language and how to apply this work to positively impact the public sector.

Paula Lantz
Christopher Brooks

Instructors: Paula Lantz

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4.8

(53 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(53 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use the R programming language to gather, manipulate, analyze, visualize, and interpret data

  • Identify and address common political and ethical challenges in data analysis

  • Interpret data to inform public policy and public administrative functions using hands-on activities with real-world data sets

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Taught in English

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Specialization - 4 course series

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

Category: Piblic Administration
Category: Data Analysis
Category: R basics
Category: Tydiverse
Category: Custom R functions

What you'll learn

  • Understand the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA)

  • Use R to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting

Skills you'll gain

Category: Public Administration
Category: Data Analysis
Category: Data Visualization
Category: R Programming
Category: tidyverse

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

Category: Policy Analysis
Category: Data Analysis
Category: Policy/Program evalaution
Category: R Programming

What you'll learn

  • Explore common ethical challenges associated with data, data analytics, and randomized controlled trials in the public sector

  • Understand the ethical issues related to data systems and data analysis by understanding frameworks, codes of ethics, and professional guidelines

  • Conduct an applied policy options analysis using authentic data from a real-world case study

Skills you'll gain

Category: Public Policy
Category: Data Analysis
Category: Politics and ethics
Category: case study

Instructors

Paula Lantz
University of Michigan
5 Courses19,225 learners

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