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Course Outline
Advanced Analytics Combining R and Tableau
Data Classification Techniques
Clustering and Modeling
Fundamental Programming and Syntax in R
R Basics
Introduction
Setting Up the Development Environment
Regressions in R and Tableau
Summary and Conclusion
- Building regression models
- Visualizing regression results
- Forecasting and comparing values
- Installing and configuring R and RStudio
- Setting up Rserve
- Transferring data between R and Tableau
- Preparing and cleaning datasets
- Modeling and scripting in R
- Applying CRISP-DM
- Working with TDSP models
- Data summarization
- Variables
- Loops
- Conditional statements
- Understanding vectors
- R functions and packages
- Applying clustering algorithms
- Creating clusters
- Visualizing clustered data
Requirements
Target Audience
- Data Scientists
- Familiarity with Tableau
14 Hours
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.
