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)
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - 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
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
The flexible and friendly style. Learning exactly what was useful and relevant for me.