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Duration 14 hours
Course Outline
Advanced Analytics: The Synergy of R and Tableau
Data Classification Techniques
Clustering Methods and Model Development
Essential R Programming and Syntax
R Fundamentals
Introduction
Setting Up the Development Environment
Regression Analysis in R and Tableau
Summary and Conclusion
- Building regression models
- Visualizing regression results
- Forecasting and value comparison
- Installation and configuration of R and RStudio
- Configuring Rserve
- Data transfer between R and Tableau
- Data preparation and cleaning
- Modeling and scripting practices in R
- Application of CRISP-DM
- Utilizing TDSP models
- Data summarization techniques
- Variable management
- Loop structures
- Conditional logic
- Understanding vectors
- Functions and package management in R
- Implementing clustering algorithms
- Generating clusters
- Visualizing clustered datasets
Requirements
Target Audience
- Data Scientists
- Proficiency with Tableau
Testimonials (2)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
knowledge of the trainer, tailor based, all topics covered
