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Course Outline
Advanced Analytics leveraging R and Tableau
Data Classification Techniques
Clustering and Modeling
Core R Programming and Syntax
R Fundamentals
Introduction
Setting Up the Development Environment
Regression Analysis in R and Tableau
Summary and Wrap-up
- Building regression models
- Visualizing regression results
- Predicting and comparing data values
- Installing and setting up R and RStudio
- Configuring Rserve
- Transferring data between R and Tableau
- Data preparation and cleaning processes
- Modeling and scripting using R
- Application of CRISP-DM
- Utilizing TDSP models
- Data summarization techniques
- Variables
- Loops
- Conditional logic
- Understanding vectors
- Functions and packages in R
- Applying clustering algorithms
- Generating clusters
- Visualizing clustered datasets
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.
