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Duration 14 hours
Course Outline
Advanced Analytical Techniques Utilizing R and Tableau
Data Classification Methodologies
Clustering Algorithms and Modeling Structures
Core R Programming Syntax and Scripting
Foundational Concepts in R
Introduction
Development Environment Configuration
Regression Analysis in R and Tableau
Summary and Conclusions
- Developing Regression Models
- Visualizing Regression Outcomes
- Predicting and Evaluating Data Values
- Installation and Configuration of R and RStudio
- Setting Up Rserve
- Data Exchange Between R and Tableau
- Data Preparation and Cleansing Procedures
- Model Development and Scripting in R
- Application of CRISP-DM Framework
- Utilization of TDSP Models
- Data Summarization Techniques
- Variables
- Loops
- Conditional Statements
- Vector Concepts
- Functions and Packages in R
- Application of Clustering Algorithms
- Formation of Data Clusters
- Visualization of Clustered Data
Requirements
Intended Audience
- Data Scientists
- Proficiency with Tableau
Testimonials (2)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The real life applications using Statcan and CER as examples.