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 Ouagadougou 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.

Ouagadougou is the capital city of Burkina Faso. It is the economic and cultural centre of the nation. This city is the largest in the country with an estimated population of 1.5 million people. The primary industries in this area are the food processing and textiles industries. The current unemployment rate in Burkina Faso doubled between 2013 and 2014. It went from 3.3 to 6.6, this was an all-time high for the country. The literacy rate in Ouagadougou isn’t high but there are still 2 universities in the city. University of Ouagadougou is the larger of the two and was founded in 1974. It has around 40,000 students which is about 85% of the nation university students. This university is seen to offer educational, cultural and economic benefit to the country.

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Address

Joly Hôtel,
rue Bitto,
Ouagadougou,
Centre,
Burkina Faso

T: +44 1344 203 999

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 Ouagadougou. 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 Ouagadougou, 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.

Experience the most sought-after learning style with The Knowledge Academy's Decision Tree Modeling Using R Training in Ouagadougou. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Decision Tree Modeling Using R Training in Ouagadougou sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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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

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

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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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

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

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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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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Decision Tree Modeling Using R Training in Ouagadougou 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 Ouagadougou starts from $2495
The Knowledge Academy is the Leading global training provider for Decision Tree Modeling Using R Training.
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Why choose us

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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.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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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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