Executive Certificate in Decision Trees and Random Forest in R

Monday, 16 February 2026 18:31:46

International applicants and their qualifications are accepted

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Overview

Overview

Decision Trees and Random Forest in R


Master the art of predictive modeling with our Executive Certificate program, focusing on Decision Trees and Random Forest in R.


Designed for data analysts and professionals, this program equips you with the skills to build robust models, interpret results, and communicate insights effectively.


Learn to harness the power of R's built-in libraries, including caret and dplyr, to create accurate and interpretable models.


Gain practical knowledge in model evaluation, hyperparameter tuning, and ensemble methods.


Take your career to the next level by mastering Decision Trees and Random Forest in R.


Explore our program today and start building predictive models that drive business success!

Decision Trees and Random Forest in R are powerful tools for predictive analytics. This Executive Certificate program will equip you with the skills to build complex models using these techniques, leading to better decision-making and improved business outcomes. By mastering Decision Trees and Random Forest in R, you'll gain a competitive edge in the job market, with career prospects in data science, machine learning, and business intelligence. Unique features of the course include hands-on experience with popular R libraries, real-world case studies, and expert guidance from industry professionals. Enhance your career with this comprehensive program.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Decision Trees in R •
Random Forest in R •
CART (Classification and Regression Trees) algorithm •
Gini Impurity •
Entropy •
Splitting criterion •
Overfitting •
Underfitting •
Bootstrap sampling •
Bagging

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Executive Certificate in Decision Trees and Random Forest in R

The Executive Certificate in Decision Trees and Random Forest in R is a comprehensive program designed to equip professionals with the skills necessary to build and implement advanced machine learning models using decision trees and random forests.
This program is ideal for individuals who want to enhance their data analysis skills and gain a deeper understanding of predictive modeling techniques.
Upon completion of the program, participants will be able to learn how to work with R, a popular programming language used for statistical computing and graphics, and apply their knowledge to real-world problems.
The program covers the fundamentals of decision trees and random forests, including data preprocessing, model selection, and hyperparameter tuning.
Participants will also learn how to evaluate the performance of their models using metrics such as accuracy, precision, and recall.
The Executive Certificate in Decision Trees and Random Forest in R is a self-paced program that can be completed in a few months, making it an excellent option for working professionals who want to upskill without taking time off from their jobs.
The program is highly relevant to industries such as finance, healthcare, and marketing, where predictive modeling is used to make informed business decisions.
Upon completion of the program, participants will receive a certificate that can be added to their resume, demonstrating their expertise in decision trees and random forests.
The program is taught by experienced instructors who have a strong background in machine learning and data science, ensuring that participants receive high-quality instruction and support throughout the program.
The Executive Certificate in Decision Trees and Random Forest in R is a valuable investment for anyone looking to enhance their skills in predictive modeling and data analysis, and can be completed at their own pace.
The program is designed to be flexible and accommodating, allowing participants to learn at their own pace and on their own schedule.
The Executive Certificate in Decision Trees and Random Forest in R is a highly sought-after credential in the industry, and can open up new career opportunities for participants.
The program is highly relevant to industries such as finance, healthcare, and marketing, where predictive modeling is used to make informed business decisions.
The Executive Certificate in Decision Trees and Random Forest in R is a valuable investment for anyone looking to enhance their skills in predictive modeling and data analysis, and can be completed at their own pace.

Why this course?

Decision Trees and Random Forest are highly sought-after skills in the UK job market, with a significant increase in demand over the past few years. According to a survey by the Royal Statistical Society, the use of machine learning techniques, including decision trees and random forests, is expected to grow by 20% in the next five years.
Year Employment Opportunities
2018 12,000
2020 15,000
2022 18,000
2025 (Projected) 20,000

Who should enrol in Executive Certificate in Decision Trees and Random Forest in R?

Ideal Audience for Executive Certificate in Decision Trees and Random Forest in R Professionals seeking to enhance their data analysis skills, particularly those in the UK, with a focus on industries such as finance, healthcare, and marketing.
Key Characteristics: Data analysts, data scientists, business analysts, and professionals looking to transition into these roles, with a basic understanding of R programming.
Industry Focus: Finance, healthcare, marketing, and e-commerce, with a growing demand for data-driven decision-making in these sectors.
Location: The UK, with a strong focus on London and other major cities, but also applicable to professionals worldwide.
Career Outcomes: Improved data analysis skills, enhanced career prospects, and increased earning potential, with average salaries ranging from £60,000 to £100,000 in the UK.