Data Analysis with R - Introduction to R Programming

Status

Location

Course Dates

Maximum number of participants / Credit Points

The registration is closed

Online

13+15 October, 9:30-11:30 am
18+19 October, 9:00 am - 1:00 pm

12 / 0.5 CP


Contents

This beginner course enables you to use R to understand and analyze your data.

By the end of Data Analysis with R, you’ll understand:

  • How to use base R and tidyverse syntax to carry out an analysis on your own data
  • The most common data structures in R (classes and types) and how they relate to each other
  • The core features of a data analysis workflow
  • Common errors and how to fix them

And you’ll be able to use:

  • Basic functions in the tidyverse to process raw data for typical data analysis questions
  • Logical expressions and indexing to ask specific questions of data
  • Functions to conduct common statistical tests

Prerequisites

  • Basic knowledge of the scientific process (e.g., What research question does your address and where does it come from?)
  • An RStudio account (You’ll be provided RStudio Cloud projects during the course)
  • An installation of R and RStudio on your personal computer
  • A dataset to analyze

Lecturer

Dr Rick Scavetta

... has worked as an independent workshop trainer, freelance data scientist and co-founder since 2012. Operating as Scavetta Academy, Rick has a close and recurring presence at primary research institutes all over Germany, including many Max Planck Institutes and Excellence Clusters.

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