Course Outline
Introduction
Core Programming and Syntax in R
- Variables
- Loops
- Conditional statements
Fundamentals of R
- What are vectors?
- Functions and packages in R
Preparing the Development Environment
- Installing and configuring R
R and Excel
- Moving data between R and Excel
- Working with bivarite analysis in R and Excel
DescTools
- Controlling output in R
- Running DescTools functions on variables
R Tidyverse
- Loading and filtering data
- Pivoting with R
- Using Power Query
Data Visualization with R
- Creating static visualizations with GGPlot
- Layering multiple charts
- Transforming visualizations into HTML widgets with Plotly
- Working with interactive tables
- Using R Markdown
Summary and Conclusion
Requirements
- Experience with Excel
Audience
- Data Analysts
Testimonials (5)
Many examples and exercises related to the topic of the training.
Tomasz - Ministerstwo Zdrowia
Course - Advanced R Programming
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.
Sonja Steiner - BearingPoint GmbH
Course - R Programming for Data Analysis
I really enjoyed the knowledge of the trainer.