Data Science with Tableau and R Programming

Audience

• Data Scientists

• Experience with Tableau

Course Customization Options

Format of the Course

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

R is a programming language and software environment for statistical computing. Together with R and Tableau, users can implement the analytical features of R with Tableau visualizations for effective data analysis.

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

• Implement Tableau analytics with R.
• Call R algorithms in Tableau to automate data processing.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

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

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

Advanced Analytics with R and Tableau

Classifying Data

Clustering and Models

Core Programming and Syntax in R

Fundamentals of R

Introduction

Preparing the Development Environment

Regressions in R and Tableau

Summary and Conclusion

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

• Installing and configuring R and RStudio
• Setting up Rserve

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

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

• Variables
• Loops
• Conditional statements

• What are vectors?
• Functions and packages in R

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