Every government entity collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data. This Specialization will equip you with fundamental technical skills using the R programming language to gather, manipulate, analyze, visualize, and interpret data to inform public policy and public administrative functions. Throughout four courses, you will gain new skills using the popular tidyverse packages, such as dplyr for data manipulation and ggplot for visualization. You will identify and address common political and ethical challenges in data analysis, and better understand public administration and public policy concepts using hands-on activities with real-world data sets. This course series is ideal for current or early-career professionals in the public sector looking to gain skills in analyzing public data effectively. There are no prerequisites, though programming experience, ideally with the R language, and basic applied statistics knowledge are recommended. The Google Data Analytics Professional Certificate offers such foundational skills. You will earn a dual badge when you complete the Google Career Certificate and this Specialization. All coursework is completed in RStudio in Coursera without the need to install additional software
VN
Great refresher of methods for policy analysis with very educational and practical cases. Would be interesting to have some more in-depth videos on the statistics.
HO
Learning with Paula Lantz was an exciting experience; her teaching made even difficult topics feel easy to understand.
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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.
Too many words, too little actions and learning. The links to the material are all over the place. The R environment is extremely slow. The bulk of the time you spend on finding variables in the code-books. I am non the wiser and did not really get what this course intended to teach.
A good introduction! I found it useful to do a bit of extra work outside of the course learning R and practicing some of the data cleaning skills that were introduced. A well-taught and interesting introduction for people who want to understand how data can be used to make public policy more effective.
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.
Great course, I learned about the foundations of public, public policy, and Analytics supported by evidences.
Great course that lays a solid foundation for the rest of the specialisation.
I will be not get a certificate.
Great for beginners in R
Good And excellent
thank you coursera
Excellent
Good
I enjoyed the introduction to R programming and discovering the usefulness of data analysis for the public sector. I want to congratulate the instructors for their enthusiasm and excellent teaching.
very good
It will be a 4-star or 5-star course once they fix the quizzes so that correct answers are accepted rather than rejected and provide better documentation so that students can learn how to code in RStudio without having to rely wholly on the professor's notes (which are hidden in Week 1).
The answers to the quizes are hard coded to very high precision, but fails to mention rounding requirements. For some quizes, the solution provided doesn't even match the answer needed.