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Image
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Publish in core platform
No
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URL
https://www.coursera.org/learn/fundamentals-of-data-analytics-in-the-public-sector-with-r
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Link text
Fundamentals of Data Analytics in the Public Sector with R
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Link Type
Training url
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Target audience
Digital skills for the labour force.Digital technology / specialisation
Big DataDigital skill level
IntermediateGeographic Scope - Country
European UnionIndustry - Field of Education and Training
Information and Communication Technologies (ICTs) not further definedTarget language
EnglishType of initiative
International initiative
Organization
Association of Information Technology & Communications Enterprises of Greece (SEPE)Event setting
Target group
Persons in tertiary education (EQF 6)Typology of training opportunities
Course
Learning activity
lab / simulation / practice coursework
Assessment type
Classroom basedTraining duration
Up to 1 week
Is this course free
No
Is the certificate/credential free
No
Type of training record
Single offer
Effort
Part time light
Credential offered
Learning activity
Self-paced course
No

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.