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.Read more.
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The techniques and tools covered in Exploratory Data Analysis for the Public Sector with ggplot are most similar to the requirements found in Business Analyst job advertisements.
Exploratory Data Analysis for the Public Sector with ggplot is a part of one structured learning path.
Data Analytics in the Public Sector with R