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Course Information

Decision Tree Modeling Using R Training​ Course Outline

Module 1: Introduction to Decision Tree

  • Decision Tree Modelling Objective
  • Anatomy of a Decision Tree
  • Important Terminology Related to Decision Trees

Module 2: Overview of R Programming

  • R Programming Language
  • Data Types
  • Control Structures in R

Module 3: Data Treatment Before Modelling

  • Data Sanity Check-Contents
  • View
  • Frequency Distribution
  • Uni-Variate
  • Categorical Variable Treatment

Module 4: Classification of Tree Development and Algorithm Details

  • Installing R Package and R studio
  • Developing First Decision Tree in R Studio
  • Find Strength of the Model

Module 5: Decision Tree Analysis in Project Management

  • Use Decision Tree in Project Management
  • Tools for Decision Tree Analysis
  • Decision Tree Analysis Strategy

Module 6: Regression Tree and Auto Pruning

  • Introduction to Pruning
  • Understand K Fold Validation for Model 
  • Develop Regression Tree 
  • How is it Different from Linear Regression? 
  • Advantages and Disadvantages over Linear Regression

Module 7: CHAID Algorithm

  • What is CHAID/CART Algorithm?
  • Chi-Square Statistics 
  • Implement Chi-Square for Decision Tree Development 

Module 8: Other Algorithms

  • ID3
  • Random Forest Method
  • Using R for Random Forest Method

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Who should attend this Decision Tree Modelling Using R Training Course?

The Decision Tree Modelling Using R Training Course offers a detailed exploration of decision tree models, one of the most widely used algorithms in Machine Learning and Data Science. This course can be beneficial for various professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Research Scientists
  • Quantitative Researchers
  • Risk Assessment Managers
  • Predictive Modelers

Prerequisites of the Decision Tree Modelling Using R Training Course

There are no formal prerequisites for attending this Decision Tree Modelling Using R Training Course. However, having some knowledge of the R programming language will be helpful.

Decision Tree Modelling Using R Training  Course Overview

Decision Tree Modelling Using R is a formidable analytical technique with wide-ranging applications across diverse industries, including finance, automotive, and telecommunications. It serves as a powerful tool for making data-driven decisions, enabling businesses to navigate complex scenarios and optimise outcomes.

Proficiency in Decision Tree Modelling Using R is essential for professionals seeking to enhance their data science skills and make informed decisions rooted in data analysis. Data scientists, business analysts, financial experts, and professionals in various industries can greatly benefit from mastering this technique. In an era where data-driven decision-making is paramount, Decision Tree Modelling equips professionals with the ability to dissect data, identify patterns, and derive actionable insights.

This intensive 1-day Decision Tree Modelling Using R Certification course immerses delegates in a comprehensive exploration of Decision Tree Modelling concepts. They will embark on a journey starting from the fundamentals of Decision Trees, progressing to advanced topics such as data design for modelling, algorithm details, industry best practices, validation techniques, and practical applications using the R programming language.

Course Objectives:

  • To Understand the fundamentals of Decision Tree Modelling
  • To Learn data treatment and frequency distribution techniques
  • To Explore Decision Tree algorithm development and pruning
  • To Gain expertise in advanced topics like Random Forest and CHAID Algorithm
  • To Acquire practical skills in using R for Decision Tree Modelling
  • To Become proficient in applying Decision Tree Modelling to real-world scenarios

By the end of this course, delegates will emerge with expertise in Decision Tree Modelling using R, empowering them to leverage this powerful tool for data analysis and informed decision-making.


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What’s included in this Decision Tree Modelling Using R Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Decision Tree Modelling Using R Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.


Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.


State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible


Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience


Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.


Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.


Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.


Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.


Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Decision Tree Modeling Using R Training FAQs


Please arrive at the venue at 8:45am.
Basic knowledge of R programming language required before attending this course.
This training course is ideal for anyone; however, Professionals and Students who want to enter the Analytics Industry. This course is also ideal for Analytics Professionals and Data Mining Professionals.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Decision Tree Modeling Using R Training certification in Belgium starts from €1695
The Knowledge Academy is the Leading global training provider for Decision Tree Modeling Using R Training.

Why choose us


Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.


Many delivery methods

Flexible delivery methods are available depending on your learning style.


High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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