Predictive Modelling in R

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
    1. Introduction
    2. Installing R and R-Studio
    3. The Basics
    4. R as a Universal Tool
    5. Data Types and Structures
    6. Reading Data o Writing Data
    7. Simple Graphs
    8. Simple Statistics
    9. Filtering
    10. Creating Variables
    11. Statistical Models
    12. Recap – Day 1

  • Module II
    1. Basic Modelling Formulation
    2. Process Flow
    3. Data Preparation
    4. Data Treatments
    5. Data Partitioning
    6. Variable Selection
    7. Model Building and Interpretation
    8. Model Evaluation and Validation
    9. Model Scoring
    • MAKATI
    • 333 Sen. Gil Puyat Ave., Makati City 1200, Philippines

    • Contact No.
    • +63 2 8891 0713
      +63 2 8751 6482

    • Email Address
    • inquiries@mapua.edu.ph

    • INTRAMUROS
    • 658 Muralla St., Intramuros, Manila 1002, Philippines

    • Contact No.
    • +63 2 8524-5572


    • Email Address
    • ccesc@mapua.edu.ph