Leverage your R Skills: Data Wrangling & Plotting with Tidyverse

Description

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.

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 2 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.

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.

Fees

The participation fee is 495 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations. An exam fee of 35 EUR will be applied.

• Industry, private sector, profession*: € 495
• Non profit, government, higher education staff: € 370
• (Doctoral) students, unemployed: € 225

*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.

Registration

More information and registration on our Beta-Academy website.