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Course Outline
Advanced Analytics with R and Tableau
Classifying Data
Clustering and Models
Core Programming and Syntax in R
Fundamentals of R
Introduction
Preparing the Development Environment
Regressions in R and Tableau
Summary and Conclusion
- Creating a regression model
- Visualizing regressions
- Predicting and comparing values
- Installing and configuring R and RStudio
- Setting up Rserve
- Moving data between R and Tableau
- Preparing and cleaning data
- Modeling and scripting in R
- Using CRISP-DM
- Working with TDSP models
- Summarizing data
- Variables
- Loops
- Conditional statements
- What are vectors?
- Functions and packages in R
- Working with clustering algorithms
- Creating clusters
- Visualizing clustered data
Requirements
Audience
- Data Scientists
- Experience with Tableau
14 Hours
Testimonials (2)
No pressure on the attendance
Agata Budzynska - Tech NorthWest Skillnet
Course - Tableau Fundamentals
The Practice, I created a dashboard is super easy, once time understand the subjects.
