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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 (5)
The fact that it was not structured in a rigid way and the trainer had an approach oriented towards our understanding of the subject. For me, at least in a training, it is very important not to have an overly professional atmosphere, but one of collaboration - where we don't feel impediments in saying what we didn't understand or if we want to repeat a topic. I liked the fact that it covered almost everything possible, so that I had an overview of Tableau and left with minimal, basic notions that I can develop if I work in this direction.
Raluca - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL
Course - From Tableau Beginners to Advanced User
Machine Translated
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.
