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
 
Testimonials (5)
The energy, knowledge and style of teaching of the trainer
Ioana - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL
Course - From Tableau Beginners to Advanced User
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course
The trainer answered all of my questions and gives us a walkthrough.
Mark Xavier Rimas - AIGSS- BPI
Course - Tableau Fundamentals to Advanced
The knowledge of trainor about the tool.
Kendrick Bacani - 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.