Leverage your R Skills: Data Wrangling & Plotting with Tidyverse


Tidyverse is a collection of R-packages used for data wrangling and visualization that share a common design philosophy. The goal of this course is to get you up to speed with the most up-to-date and essential tidyverse tools for data exploration. After attending this course, you’ll have the tools to tackle a wide variety of data wrangling and visualization challenges, using the best parts of R tidyverse.

This course covers the most essential tools from 3 main R tidyverse packages that are frequently used in general data analysis procedure. Lectures with R code demonstrations are blended with hands-on exercises which allows you to try out the tools you’ve seen in the class under guides.

This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via www.ipvw-ices.ugent.be

What you will learn:

  • Data transforming and summarizing with dplyr: narrowing in on observations of interest, creating new variables that are functions of existing variables, and calculating a set of summary statistics (like counts or means)
  • Data visualization with ggplot2: creating more informative graphs (e.g., scatter plot, bar plot, histogram, smoother/regression line, …) in an elegant and efficient way. Arranging multiple plots on a grid
  • Data ingest and tidying with tidyr: storing it in a consistent form that matches the semantics of the dataset with the way it is stored.
  • Extra tools for programming: Merging and comparing two datasets based on various matching or filtering criterion. Other useful tools for R programming.

Not included in this course:

  • A systematic training guide in basics of R. If you never used R or RStudio before, we highly recommend you to take Module 1 of this year's program which will guide you to be familiar with the R environment for the implementation of data management and exploration tasks.
  • Big data. This course focuses on small, in-memory datasets as you can’t tackle big data easily unless you have experience with small data.
  • Statistics. Although you will see many basic statistics in this course, the main focus is on R and the tidyverse tools instead of explaining the statistical concepts.

Schrijf je hier in voor lessen uit deze cursus

Leverage your R Skills: Data Wrangling & Plotting with Tidyverse

  • Type of course: This is an on campus course.
  • Dates & times: January 25 and 27, 2022, from 1.30 pm to 4.30 pm
  • Venue: UGent, Faculty of Sciences, Campus Sterre, Krijgslaan 281, building S9, 9000 Gent
  • Target audience: This course targets anyone who wants to use R for data processing and needs to produce professional looking graphs and/or summary statistics.
  • Exam/certificate: There is no exam connected to this course. Participants who attend all classes receive a certificate of attendance via e-mail at the end of the course.
  • Course prerequisites: The course is open to all interested persons. Basic R skills as provided in Module1 'Getting Started with R Software for Data Analysis' of this year's program are advised.
  • Funding:
  • => Our academy is recognised as a service provider for the 'KMO-portefeuille'. In this way small and middle sized businesses located in the Flanders region can save up to 30% on the registration fee for our courses. You can request this subsidy via www.kmo-portefeuille.be up until 14 calender days after the course has started. => UGent PhD students can apply for a full refund from their Doctoral School.
  • Reduction: => If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment => Reduced prices apply to coworkers in governmental institutions, non-profit organisations and higher eduction as well as for students and the unemployed.
  • Enrolling for this course is possible via the IPVW-ICES website.