There are countless online courses and classes that will assist you improve your Decision Trees skills and earn your Decision Trees certificate.
In this short article, our experts have actually put together a curated list of the 10 Best of the Best Decision Trees courses, tutorials, training programs, classes and certifications that are offered online right now.
We have included only those courses that satisfy our high-quality requirements. We have put a lot of time and effort into collecting these all for you. These courses are suitable for all levels, beginners, intermediate students, and experts.
Here’s a look at these courses and what they have to offer for you!
10 Best Decision Trees Courses and Certifications Online
| Course Name | Enrolled Students (Count) | Reviews (count) |
|---|---|---|
| 1. “Decision Trees, Random Forests, AdaBoost & XGBoost in Python” Our Best Pick | 114819+ | 700+ |
| 2. “Decision Trees, Random Forests, Bagging & XGBoost: R Studio” | 59763+ | 167+ |
| 3. “Decision Trees, Random Forests & Gradient Boosting in R” | 16760+ | 32+ |
| 4. “Logistic Regression, Decision Tree and Neural Network in R” | 2998+ | 32+ |
| 5. Getting Started with Decision Trees | 2664+ | 29+ |
| 6. “Decision Tree – Theory, Application and Modeling using R” | 1837+ | 295+ |
| 7. XGBoost for Business in Python and R | 979+ | 128+ |
| 8. Mastering and Tuning Decision Trees | 379+ | 38+ |
| 9. Decision Trees for Machine Learning From Scratch | 350+ | 80+ |
| 10. Decision tree models in Python | 0+ | 0+ |
1. “Decision Trees, Random Forests, AdaBoost & XGBoost in Python” by Start-Tech Academy Udemy Course Our Best Pick
“Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python”
As of right now, more than 114819+ people have enrolled in this course and there are over 700+ reviews.
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2. “Decision Trees, Random Forests, Bagging & XGBoost: R Studio” by Start-Tech Academy Udemy Course
“Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming”
As of right now, more than 59763+ people have enrolled in this course and there are over 167+ reviews.
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3. “Decision Trees, Random Forests & Gradient Boosting in R” by “Carlos Martínez, PhD” Udemy Course
“Learn to build predictive models with machine learning, using different Rstudio´s packages: ROCR, caret, XGBoost, rparty”
As of right now, more than 16760+ people have enrolled in this course and there are over 32+ reviews.
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4. “Logistic Regression, Decision Tree and Neural Network in R” by Modeste Atsague Udemy Course
“Logistic Regression, Decision Tree and Neural Network in R”
As of right now, more than 2998+ people have enrolled in this course and there are over 32+ reviews.
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5. Getting Started with Decision Trees by Analytics Vidhya Udemy Course
Learn the basics of Decision Trees – a popular and powerful machine learning algorithm and implement them using Python
As of right now, more than 2664+ people have enrolled in this course and there are over 29+ reviews.
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6. “Decision Tree – Theory, Application and Modeling using R” by Gopal Prasad Malakar Udemy Course
Analytics/ Supervised Machine Learning/ Data Science: CHAID / CART / Random Forest etc. workout (Python demo at the end)
As of right now, more than 1837+ people have enrolled in this course and there are over 295+ reviews.
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7. XGBoost for Business in Python and R by Diogo Alves de Resende Udemy Course
Apply eXtreme Gradient Boosting (XGBoost) in a Direct Marketing case study. Python and R code templates included.
As of right now, more than 979+ people have enrolled in this course and there are over 128+ reviews.
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8. Mastering and Tuning Decision Trees by Sandy Midili Udemy Course
IBM SPSS Modeler Seminar Series
As of right now, more than 379+ people have enrolled in this course and there are over 38+ reviews.
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9. Decision Trees for Machine Learning From Scratch by Sefik Ilkin Serengil Udemy Course
Learn to build decision trees for applied machine learning from scratch in Python.
As of right now, more than 350+ people have enrolled in this course and there are over 80+ reviews.
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10. Decision tree models in Python by Gianluca Malato Udemy Course
“A course about decision trees, random forest, gradient boosting decision trees, XGBoost and extra trees in Python”
As of right now, more than 0+ people have enrolled in this course and there are over 0+ reviews.
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Here are some frequently asked questions about learning Decision Trees
How Long Does It Take to Learn Decision Trees?
The answer to the question “How long does it ttake to learn Decision Trees” is … it depends. Everybody has different needs, and everybody is working in different circumstances, so the answer for a single person might be completely different than for somebody else.
Think about these questions: What are you trying to Learn Decision Trees for? Where is your beginning point? Are you a novice or do you have experience with Decision Trees? How much can you practice? 1 hour each day? 40 hours weekly? Have a look at this course about Decision Trees.
Is Decision Trees Easy Or Hard to Learn?
No, learning Decision Trees isn’t hard for most people. Check this course on how to Learn Decision Trees in no time!
How to Learn Decision Trees Fast?
The fastest method to Learn Decision Trees is to first get this Decision Trees course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is essential.
Where to Learn Decision Trees?
If you want to explore and learn Decision Trees, then Udemy offers you the best platform to learn the Decision Trees. Check this course on how to Learn Decision Trees in no time!