Online Course – Certified Professional Internship in Public Sector Data Analytics with R – Google, University of Michigan

Learn data analysis skills using the R programming language and how to apply your work to positively impact the public sector.

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קורס אונליין - התמחות מקצועית מוסמכת באנליזת נתונים במגזר הציבורי עם R - Google

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Basic technical skills in the R programming language
  • Data collection and modification
  • Data analysis and visualization
  • Addressing political and ethical challenges in data analysis
  • Understanding of public administration and public policy concepts
  • Experience in programming in R language
  • Basic knowledge of tangible statistics
  • Data analysis as part of policy options analysis
  • Creating a visualization of the analysis results
  • Making a recommendation based on the results

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Public Sector Project Manager
  • Public Policy Consultant
  • Researcher in the field of public administration
  • Policy planner
  • Public Sector Data Analyst
  • Statistics expert
  • R language software developer
  • Public Information Systems Manager
  • Data analysis professional

Internship – 4-part course series

Every government agency collects and stores millions of data points to fulfill administrative and legal duties, allocate resources, and make decisions. Public sector professionals need the skills to accurately interpret the data and inform managers and decision makers about its meaning.

This specialization will give you basic technical skills in the R programming language, enabling you to collect, transform, analyze, visualize, and interpret data to inform public policy and public administration functions. Over four courses, you will gain new skills using popular Tidyverse packages, such as dplyr for data transformation and ggplot for visualization.

What you’ll learn:

  • Data collection and modification
  • Data analysis and visualization
  • Addressing political and ethical challenges in data analysis
  • Understanding of public administration and public policy concepts

This course series is suitable for public sector professionals, who are currently working or just starting out, who are interested in acquiring skills in analyzing public data effectively.

There are no prerequisites, but it is recommended that you have programming experience, preferably in R, and a basic understanding of statistical concepts. The Google Professional Data Analytics Certificate offers these foundational skills. You will receive a dual badge when you complete the Google Career Certificate and this specialization.

Hands-on Learning Project

There is an opportunity to practice all your R skills through hands-on exercises in each course. In the final exercise of the fourth course, participants will analyze data as part of a policy options analysis, create a visualization of the analysis results, and make a recommendation based on the results.

Details of the courses that make up the specialization

Courses in Data Analytics in the Public Sector

Course 1: Fundamentals of Public Sector Data Analysis with R

Duration: 14 hours, Rating: 4.7 (32 ratings)

  • What you’ll learn:
    • Understand key terms in public management and public policy.
    • Learn basic techniques in the R programming language.
    • Create custom functions for analyzing population data.
  • Skills you will acquire:
    • Public management
    • Data Analytics
    • R Basics
    • tidyverse
    • Custom functions in R

Course 2: Analyzing Exploratory Data in the Public Sector with ggplot

Duration: 18 hours, Rating: 5.0 (10 ratings)

  • What you’ll learn:
    • Understand the key principles of the public sector.
    • Use R to explore, visualize, and present data.
  • Skills you will acquire:
    • Public management
    • Data Analytics
    • Data similarity
    • R programming
    • tidyverse

Course 3: Assisting decision-makers in the public sector through policy analysis

Duration: 16 hours, Rating: 4.8 (20 ratings)

  • What you’ll learn:
    • Apply data analysis techniques to core public sector principles.
    • Develop analytical skills for analyzing and evaluating policies and programs.
    • Answer questions that policy recipients ask.
  • Skills you will acquire:
    • Policy analysis
    • Data Analytics
    • Policy/program evaluation
    • R programming

Course 4: Politics and Ethics of Data Analytics in the Public Sector

Duration: 14 hours, Rating: 4.9 (11 ratings)

  • What you’ll learn:
    • Explore the ethical challenges associated with data.
    • Understand the ethical issues related to data systems.
    • Conduct an analysis of policy options based on real data.
  • Skills you will acquire:
    • Public policy
    • Data Analytics
    • Politics and ethics
    • Case study

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