Mathematics Courses and Certifications

Trigonometry 1 with The Math Sorcerer

282 ratings at Udemy

Trigonometry Course with Assignments and Solutions

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

Master Statistics & Probability 2020: Beginner-To-Advanced

277 ratings at Udemy

Includes 100+ Meaningful Lectures, Homework Assignments, Quizzes, Comprehensive Exams & An Online Statistics Textbook!

• Udemy
• 13 hours 36 minutes
• Self-Paced
• Paid Course

Master Number Theory 2020: The Secrets Of Numbers

279 ratings at Udemy

Learn The Secrets Of The Integers And Prime Numbers And Gain A New Perspective On Mathematics

• Udemy
• 9 hours 17 minutes
• Self-Paced
• Paid Course

Master Complete Statistics For Computer Science - I

265 ratings at Udemy

Course In Probability & Statistics Important For Machine Learning, Artificial Intelligence, Data Science, Neural Network

• Udemy
• 21 hours 21 minutes
• Self-Paced
• Paid Course

Statistics & Linear Algebra for Machine Learning

265 ratings at Udemy

Math Behind Machine Learning & Deep Learning Algorithms | Linear Algebra | Hypothesis Testing | ANOVA

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

Learn to Calculate faster than a Calculator

267 ratings at Udemy

With no pre-existing knowledge, go to calculating complex squares and percentages in your head in under 4 seconds.

• Udemy
• 1 hour 25 minutes
• Self-Paced
• Free Online Course

Calculus 1, part 1 of 2: Limits and continuity

260 ratings at Udemy

Single variable calculus with elements of Real Analysis: from axioms and proofs to illustrations and computations

• Udemy
• 2 days 12 hours 1 minute
• Self-Paced
• Paid Course

Introduction to Trigonometry (Algebra 2 Unit 14)

259 ratings at Udemy

Learn basic trigonometry and trigonometric skills.

• Udemy
• 1 hour 19 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 3 - Maximum Likelihood - Stanford CS221: AI (Autumn 2019)

Explore maximum likelihood estimation in Bayesian networks, covering parameter learning, probabilistic inference, and advanced concepts like regularization and Expectation Maximization.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 2 - Forward-Backward - Stanford CS221: AI

Explore advanced probabilistic inference techniques, including hidden Markov models, particle filtering, and Gibbs sampling, for AI applications in object tracking and more.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Online Course

Bayesian Networks 1 - Inference - Stanford CS221: AI

Explore Bayesian networks for AI, covering probabilistic inference, modeling, and applications in object tracking, language modeling, and document classification.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Online Course

Stanford Lecture - Don Knuth - "A Conjecture That Had To Be True"

Donald Knuth explores a fascinating problem in combinatorial geometry, presenting an intriguing formula and its unexpected universal application, showcasing the beauty of mathematical discovery.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Stochastic Calculus

243 ratings at Udemy

Learn or refresh your stochastic calculus with a full lecture, practical examples and 20+ exercises and solutions.

• Udemy
• 2 hours 33 minutes
• Self-Paced
• Paid Course

Mathematical Optimization with GAMS and Pyomo (Python)

237 ratings at Udemy

Learn how to mathematically formulate 16 business problems and find their optimal solutions with GAMS and Pyomo (Python)

• Udemy
• 8 hours 20 minutes
• Self-Paced
• Paid Course

Solver in Excel for Management Consultants & Analysts

238 ratings at Udemy

A practical guide on how to use linear programming and Solver in Excel to find optimal solutions

• Udemy
• 1 hour 40 minutes
• Self-Paced
• Paid Course