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Learner Reviews & Feedback for Fundamentals of Data Analytics in the Public Sector with R by University of Michigan
14 ratings
About the Course
Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics.
Throughout the course, you will work with authentic public datasets, and all programming can be completed in RStudio on the Coursera platform without additional software.
This is the first of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
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1 - 3 of 3 Reviews for Fundamentals of Data Analytics in the Public Sector with R
By Keith L
•Jan 11, 2023
Instructors get 5 stars. Content gets 4.5. The 4 star rating due to some issues with the answer key/grading and some of the R assignments expected more knowledge than that presented.
By Morgan I M
•Mar 27, 2023
I think that some of the R programming modules were very fast paced, but I enjoyed and learned a lot from this course. I think that when the course is accessed on the mobile platform some of the quiz answers may get shuffled around and be incorrect, but other than that I had no issues with the course.
By Roberto L L
•Feb 16, 2023
Great course, I learned about the foundations of public, public policy, and Analytics supported by evidences.
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