Decision Trees Courses and Certifications

Career Certificate

Statistical Learning for Data Science

22 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

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

Introduction to Learning

Explore foundational AI learning concepts—supervised, unsupervised, and reinforcement learning—covering decision trees, neural networks, and Q-learning to build practical skills for real-world applications.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Applying Investment Decision Rules for Startups

88 ratings at Coursera

Learn capital budgeting techniques for startups, including NPV, IRR, and payback period. Master project cash flow analysis, evaluate multiple projects, and understand real options in business investments.

• Coursera
• 10 hours 54 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

Machine Learning: Concepts and Applications

25 ratings at Coursera

Comprehensive introduction to machine learning theory and practice using Python. Learn data preparation, modeling techniques, and evaluation methods with real-world datasets, focusing on practical applications and conceptual understanding.

• Coursera
• 1 day 13 hours 39 minutes
• Self-Paced
• Paid Course

Coursera

Interpretable Machine Learning Applications: Part 4

25 ratings at Coursera

Explore interpretable machine learning using Google's What-If Tool. Learn to analyze and visualize prediction model behavior for white wine quality classification using Decision Trees and Random Forests.

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

Neural Networks and Random Forests

18 ratings at Coursera

Explore advanced AI techniques: neural networks and random forests. Learn structure, coding, and applications. Complete projects on heart disease prediction and patient similarity analysis.

• Coursera
• 10 hours 16 minutes
• Self-Paced
• Paid Course

EDUCBA

Python: Logistic Regression & Supervised ML

17 ratings at Coursera

Master logistic regression and supervised ML using Python with the Titanic dataset, covering data analysis, feature engineering, model building, and evaluation techniques.

• Coursera
• 4 hours 39 minutes
• Self-Paced
• Paid Course