Free Online Random Forest Courses & MOOCs

Coursera

H2O.ai

Practical Machine Learning on H2O (Coursera)

Data Science

Embark on a transformative journey into the world of machine learning with Practical Machine Learning on H2O. This course is designed for those new to data science, aiming to empower learners with the skills needed to create effective machine learning models using H2O's powerful open-source platform. From linear models and random forests to gradient boosting machines (GBMs) and deep learning, this course covers a broad spectrum of algorithms, ensuring you're well-equipped to tackle various data challenges.

Aug 17th 2026

5-12 Weeks

Machine Learning Data Science Linear Models

Coursera

University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data science with 'Practical Predictive Analytics: Models and Methods'. This course is designed for those eager to learn how to design statistical experiments, analyze results using advanced techniques, and avoid common misinterpretations in big data. Gain a core understanding of practical machine learning methods and apply them to real-world problems.

Aug 3rd 2026

4 Weeks

Machine Learning Models Methods

Coursera

DeepLearning.AI

AI for Medical Prognosis (Coursera)

Data Science

Discover how Artificial Intelligence (AI) is reshaping medicine with our 'AI for Medical Prognosis' course. Gain practical skills in applying machine learning to real-world medical challenges, enhancing diagnostic accuracy, forecasting patient health trajectories, and optimizing treatment plans.

Aug 3rd 2026

4 Weeks

Machine Learning Decision Tree Random Forest

Coursera

DeepLearning.AI

AI For Medical Treatment (Coursera)

Data Science

Embark on a transformative journey into the intersection of AI and medicine with 'AI For Medical Treatment' on Coursera. Gain practical skills in applying machine learning to diagnose patients more accurately, predict future health issues, and suggest effective treatments. This course is designed for healthcare professionals and data enthusiasts looking to leverage technology for better patient care.

Aug 3rd 2026

3 Weeks

Artificial Intelligence Machine Learning Natural Language

Coursera

Johns Hopkins University

Practical Machine Learning (Coursera)

Statistics & Data Analysis Data Science

Discover the essential skills needed for data science with our Practical Machine Learning course. Designed for beginners, this course will guide you through the basics of creating and implementing prediction models, focusing on real-world application and avoiding common pitfalls like overfitting and error rates.

Jul 27th 2026

4 Weeks

Algorithms Machine Learning Regression

Coursera

Wesleyan University

Machine Learning for Data Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of machine learning and transform raw data into actionable insights with our Machine Learning for Data Analysis course. This course builds upon foundational concepts introduced in Course 3, expanding your knowledge to include classification, decision trees, clustering, and more. Perfect for data enthusiasts looking to harness predictive power.

Jul 27th 2026

4 Weeks

Python Machine Learning Data Analysis

Coursera

LearnQuest

Machine Learning Models in Science (Coursera)

Data Science

Embark on a journey into the world of applying machine learning techniques to solve complex scientific challenges. This course will guide you through every step of the machine learning pipeline, from data cleaning and transformation to running advanced algorithms. Perfect for scientists, researchers, and anyone interested in leveraging AI for problem-solving.

Jul 27th 2026

4 Weeks

Algorithms Machine Learning Neural Networks

Coursera

LearnQuest

Neural Networks and Random Forests (Coursera)

Data Science

Dive deep into the world of advanced artificial intelligence with our 'Neural Networks and Random Forests' course. Learn to construct sophisticated neural network models and random forest algorithms from scratch, understanding their structures and properties thoroughly. This course will equip you with essential skills in avoiding overfitting, regularization techniques, and optimizing hyper-parameters for effective model performance.

Jul 27th 2026

3 Weeks

Neural Networks AI Random Forest

Coursera

University of Michigan

Introduction to Machine Learning in Sports Analytics (Coursera)

Statistics & Data Analysis Data Science

Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.

Jul 27th 2026

4 Weeks

Machine Learning Linear Regression Logistic Regression