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Duration 14 hours
Course Outline
Advanced Analytics with R and Tableau
Data Classification
Clustering and Modeling
Core R Programming and Syntax
R Fundamentals
Introduction
Preparing the Development Environment
Regressions in R and Tableau
Summary and Conclusion
- Building regression models
- Visualizing regression results
- Predicting 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
- Utilizing TDSP models
- Summarizing data
- Variables
- Loops
- Conditional statements
- Understanding vectors
- R functions and packages
- Implementing clustering algorithms
- Creating clusters
- Visualizing clustered data
Requirements
Target Audience
- Data Scientists
- Familiarity 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
