Skip to main content
Search by keyword

Fundamentals of Data Analytics in the Public Sector with R

This course, offered by the University of Michigan, is the first of four courses within the Data Analytics in the Public Sector with R Specialization. It is an intermediate level course that can be taken at one's own pace.

The course is ideal for workers in the public sector who are already in their careers or are just starting out and want to improve their skills to analyse public data efficiently. It is also a great course for current data analytics professionals and students looking forward to work in the publica sector.

Details of the course

By following this course participants will learn fundamental programming techniques using the R programming language while gaining a fundamental understanding of important terms and concepts in public administration and public policy. Also, they will discover how to use the tidyverse libraries, with a focus on the dplyr package, to execute functions to load, select, filter, alter, and summarise data frames.

By the end of the course, students will have developed their own custom functions and used them to analyse population data, which is frequently used in analytics for the public sector.

Training Offer Details

Target audience
Digital skills for the labour force.
Digital technology / specialisation
Digital skill level
Geographic scope - Country
Industry - field of education and training
Information and Communication Technologies (ICTs) not further defined
Software and applications development and analysis
Target language
Geographical sphere
International initiative
Typology of training opportunties
Learning activity
e-learning coursework
Assessment type
Training duration
Is this course free
Is the certificate / credential free
Part time light
Self-paced course