Professional Certificate in Decision Trees and Random Forests

Tuesday, 17 February 2026 03:15:03

International applicants and their qualifications are accepted

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Overview

Overview

Decision Trees and Random Forests

are essential tools for data analysis and prediction in machine learning. This Professional Certificate program is designed for data analysts and scientists who want to master these techniques.

Through this program, you will learn how to build and evaluate decision trees and random forests, including feature selection, model evaluation, and hyperparameter tuning.

By the end of the program, you will be able to apply decision trees and random forests to real-world problems and make informed decisions.

Take the first step towards becoming a proficient data analyst or scientist. Explore our Professional Certificate in Decision Trees and Random Forests today and start building a career in machine learning!

Decision Trees and Random Forests are powerful tools for predictive analytics, and this Professional Certificate course will teach you how to harness their potential. By mastering these techniques, you'll gain a deeper understanding of how to analyze complex data, identify patterns, and make informed decisions. With this course, you'll learn the key concepts, including Decision Trees, Random Forests, and ensemble methods, as well as how to implement them using popular libraries like scikit-learn. You'll also explore the benefits of using Decision Trees and Random Forests in real-world applications, including predictive modeling and data science. Upon completion, you'll be well-equipped to take on a range of roles in data analysis and science, including data scientist, business analyst, and operations research analyst.

Entry requirements

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 Machine Learning
• Supervised Learning Algorithms
• Classification and Regression Trees
• Random Forest Classification
• Ensemble Methods for Classification
• Hyperparameter Tuning for Decision Trees
• Feature Selection for Decision Trees
• Random Forest Regression
• Handling Imbalanced Datasets
• Evaluation Metrics for Decision Trees and Random Forests

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in Decision Trees and Random Forests

The Professional Certificate in Decision Trees and Random Forests is a comprehensive online course designed to equip learners with the skills and knowledge required to work with advanced machine learning algorithms.
This program focuses on the development of decision trees and random forests, which are widely used in data analysis and predictive modeling.
Upon completion of the course, learners will be able to apply decision trees and random forests to real-world problems, including classification, regression, and feature selection.
The learning outcomes of the program include the ability to design and implement decision trees and random forests, evaluate model performance, and select the most appropriate algorithm for a given problem.
The duration of the course is approximately 4 months, with learners completing 8 modules and participating in regular discussions and peer review.
The Professional Certificate in Decision Trees and Random Forests is highly relevant to the data science industry, where the ability to work with advanced machine learning algorithms is highly valued.
Learners can apply their new skills to a variety of roles, including data analyst, data scientist, and business analyst, and can use the certificate to demonstrate their expertise to potential employers.
The course is taught by industry experts and covers a range of topics, including data preprocessing, model evaluation, and hyperparameter tuning.
The Professional Certificate in Decision Trees and Random Forests is a great option for anyone looking to enhance their skills in machine learning and data analysis, and can be completed at their own pace.
Upon completion of the course, learners will receive a certificate of completion and can showcase their new skills on their resume or LinkedIn profile.
The course is also highly relevant to the field of artificial intelligence, where decision trees and random forests are widely used in natural language processing, computer vision, and predictive maintenance.

Why this course?

Decision Trees and Random Forests have become increasingly significant in today's market, particularly in the UK. According to Google Charts, the demand for professionals with expertise in these areas is on the rise.
Year Number of Jobs
2020 2,500
2021 3,200
2022 4,000

Who should enrol in Professional Certificate in Decision Trees and Random Forests?

Decision Trees and Random Forests Ideal Audience
Data analysts and scientists Professionals with a strong foundation in statistics and machine learning, particularly those working in the UK's data-intensive industries such as finance, healthcare, and e-commerce, are well-suited for this course. With 71% of UK businesses using data analytics to inform their decisions, this certificate can help professionals upskill and stay competitive in the job market.
Business professionals Business professionals looking to improve their predictive modeling skills and make data-driven decisions can benefit from this course. In the UK, 64% of businesses believe that data analytics is crucial to their success, making this certificate an attractive option for those seeking to enhance their skills.
Machine learning enthusiasts Individuals with a passion for machine learning and a basic understanding of programming concepts can also benefit from this course. With the increasing demand for skilled machine learning professionals in the UK, this certificate can help enthusiasts turn their interests into a career.