Course Code: rexcel
Duration: 21 hours
Prerequisites:
  • Experience with Excel

Audience

  • Data Analysts
Overview:

R is a programming language and software environment for statistical computing. Together with R and Excel, users are able to implement R Tidyverse standards and more powerful R features for improving data analytics in Excel.

This instructor-led, live training (online or onsite) is aimed at data analysts who wish to program in R for Excel.

By the end of this training, participants will be able to:

  • Toggle and move data between Excel and R.
  • Use R Tidyverse and R features for data analytic solutions in Excel.
  • Update their data science skills by learning R.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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

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