Course Outline


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 and RStudio
  • Setting up Rserve

Classifying Data

  • Moving data between R and Tableau
  • Preparing and cleaning data
  • Modeling and scripting in R

Regressions in R and Tableau

  • Creating a regression model
  • Visualizing regressions
  • Predicting and comparing values

Clustering and Models

  • Working with clustering algorithms
  • Creating clusters
  • Visualizing clustered data

Advanced Analytics with R and Tableau

  • Using CRISP-DM
  • Working with TDSP models
  • Summarizing data

Summary and Conclusion


  • Experience with Tableau


  • Data Scientists
  14 Hours


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