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Course Outline
Introduction
Core Programming and Syntax in R
- Variables
- Loops
- Conditional statements
Fundamentals of R
- What are vectors?
- Functions and packages in R
Preparing the Development Environment
- Installing and configuring R and RStudio
- Setting up Rserve
Classifying Data
- Moving data between R and Tableau
- Preparing and cleaning data
- Modeling and scripting in R
Regressions in R and Tableau
- Creating a regression model
- Visualizing regressions
- Predicting and comparing values
Clustering and Models
- Working with clustering algorithms
- Creating clusters
- Visualizing clustered data
Advanced Analytics with R and Tableau
- Using CRISP-DM
- Working with TDSP models
- Summarizing data
Summary and Conclusion
Requirements
- Experience with Tableau
Audience
- Data Scientists
14 Hours
Testimonials (5)
His patience and way of transmitting knowledge
Estefania - si
Machine Translated
As someone new to Tableau it was a perfect introduction to it
PEter - Tech Northwest Skillnet
Course - Tableau Fundamentals
Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.
Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course - Data analysis with Tableau
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
