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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 (4)
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.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
I mostly was benefit from the exercises and sample cases.
