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Course Outline
Advanced Analytics with R and Tableau
Data Classification
Clustering and Modelling
Fundamental Programming and Syntax in R
R Basics
Introduction
Setting Up the Development Environment
Regressions in R and Tableau
Summary and Conclusion
- Constructing a regression model
- Visualising regressions
- Predicting and comparing values
- Installing and configuring R and RStudio
- Configuring Rserve
- Transferring data between R and Tableau
- Preparing and cleaning data
- Modelling and scripting in R
- Applying CRISP-DM
- Utilising TDSP models
- Summarising data
- Variables
- Loops
- Conditional statements
- Understanding vectors
- Functions and packages in R
- Working with clustering algorithms
- Generating clusters
- Visualising clustered data
Requirements
Target Audience
- Data Scientists
- Prior experience 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.
