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 
  • CHAID Vs CART

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?

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.

The Knowledge Academy’s 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?

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

Why choose us

Our Mississauga venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Address

Robert Speck 2
2 Robert Speck Parkway
Suite 750
Mississauga
Ontario
L4Z 1H8

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Decision Tree Modeling Using R Training in Mississauga. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Decision Tree Modeling Using R Training in Mississauga, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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What our customers are saying

Decision Tree Modeling Using R Training in Mississauga 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 training fees for Decision Tree Modeling Using R Trainingin Mississauga starts from CAD3395
The Knowledge Academy is the Leading global training provider for Decision Tree Modeling Using R Training.
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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"

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