Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots. These skills are enhanced with lessons on best practices for good information visualization design. Upon completing this course, you will understand the layered grammar of graphics and its implementation in ggplot2, all while exploring a diverse set of authentic public datasets.
This course is part of the Data Analytics in the Public Sector with R Specialization
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About this Course
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 2 of 4 in the
Intermediate Level
Approx. 18 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 2 of 4 in the
Intermediate Level
Approx. 18 hours to complete
English
Offered by
Syllabus - What you will learn from this course
7 hours to complete
Week 1 | Introduction to Visualization with ggplot2
7 hours to complete
9 videos (Total 68 min), 6 readings, 5 quizzes
5 hours to complete
Week 2 | Fundamentals of Exploratory Data Analysis (EDA)
5 hours to complete
9 videos (Total 89 min), 3 readings, 6 quizzes
1 hour to complete
Week 3 | Visualizing Populations and Trends with R
1 hour to complete
5 videos (Total 42 min)
5 hours to complete
Week 4 | Best Practices for Data Visualization
5 hours to complete
12 videos (Total 67 min), 3 readings, 3 quizzes
About the Data Analytics in the Public Sector with R Specialization

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