Course Duration
16 hours, 2-day training workshop
Delivery
Face to face training or online training
Course Inclusive
Training materials & certificate of completion
Course Objectives
This two-day course covers the basics as as well as the predictive modeling modelling process using R. After this course, attendees should be able to kickstart their work in R for their modeling using the sample scripts provided.
LEARN HOW TO
Install R software and related packages
- Do basic data management/preparation in R
- Do simple statistics and visualization in R
- Do end-to-end predictive modeling in R
WHO SHOULD ATTEND
Analytics Managers, analysts, data scientists
PREREQUISITES
This course assumes familiarity on programming, data management and on analytics and predictive modelling.
Course Content
- Module I
- Introduction
- Installing R and R-Studio
- The Basics
- R as a Universal Tool
- Data Types and Structures
- Reading Data o Writing Data
- Simple Graphs
- Simple Statistics
- Filtering
- Creating Variables
- Statistical Models
- Recap – Day 1
- Module II
- Basic Modelling Formulation
- Process Flow
- Data Preparation
- Data Treatments
- Data Partitioning
- Variable Selection
- Model Building and Interpretation
- Model Evaluation and Validation
- Model Scoring