Data Science with Tableau and R Programming Training Course
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.
Course Outline
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
Requirements
Audience
- Data Scientists
- Experience with Tableau
Need help picking the right course?
macao@nobleprog.com or +852 81990613
Data Science with Tableau and R Programming Training Course - Enquiry
Data Science with Tableau and R Programming - Consultancy Enquiry
Testimonials (2)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The real life applications using Statcan and CER as examples.
Matthew - Natural Resources Canada
Course - Data Analytics With R
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