Decision Trees Courses and Certifications

Complete Machine Learning with R Studio - ML for 2026

2725 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

• Udemy
• 12 hours 3 minutes
• Self-Paced
• Paid Course

Predictive Analytics Project Ideation

Master predictive analytics through hands-on project ideation, from basic ML models to advanced techniques, using design sprints to tackle real business challenges like customer churn prediction.

• Coursera
• 13 hours 5 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning: Supervised Learning

25 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 22 hours 48 minutes
• Self-Paced
• Paid Course

Credential

Statistical Learning for Data Science

21 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours/week
• Self-Paced
• Paid Course
• 3 courses

Predictive Analytics

1 rating

Master the tools of predictive analytics in this statistics based analytics course.

• edX
• 7 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

AI skills for Engineers: Supervised Machine Learning

8 ratings at edX

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.

• edX
• 6 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 14 minutes
• Self-Paced
• Paid Course

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 59 minutes
• Self-Paced
• Paid Course

Master Drools Programming - Learn How to Write Drools Rules

2045 ratings at Udemy

Learn how to run and write rules for Apache Drools Rule Engine and how to work with spredsheet decision tables

• Udemy
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Python for Machine Learning: The Complete Beginner's Course

1388 ratings at Udemy

Learn to create machine learning algorithms in Python for students and professionals

• Udemy
• 2 hours 29 minutes
• Self-Paced
• Paid Course

The Supervised Machine Learning Bootcamp

1428 ratings at Udemy

Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs

• Udemy
• 5 hours 49 minutes
• Self-Paced
• Paid Course

Effective Decision Making | Control of Personal & Business

1394 ratings at Udemy

Improve Your Decision Making Skills and Shape Your Future!

• Udemy
• 1 hour 11 minutes
• Self-Paced
• Paid Course

User Research Methods and Practices

Master essential user research techniques for gathering, analyzing, and interpreting behavioral data to create engaging UX solutions through qualitative methods like contextual inquiry, focus groups, and systematic analysis models.

• Coursera
• 10 hours 56 minutes
• Self-Paced
• Paid Course

Coursera

Mining Quality Prediction Using Machine & Deep Learning

69 ratings at Coursera

Predict silica concentrate in iron ore using machine learning and deep learning models. Explore data, train models, and evaluate performance for faster mining industry predictions.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

statistics.com

Predictive Analytics: Basic Modeling Techniques

1 rating

Explore key predictive analytics techniques including regression, decision trees, ensembles, and neural networks. Gain hands-on experience in model fitting, performance evaluation, and practical application of machine learning methods.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)