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)
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
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.