Probability Theory Courses and Certifications

Decision Making with Probability & Statistics, Do it Right.

3023 ratings at Udemy

For Good, Data driven Business Decision-Making : Avoid Probability and Statistics Misconceptions and Mistakes.

• Udemy
• 2 hours 54 minutes
• Self-Paced
• Paid Course

Modern AI Models for Vision and Multimodal Understanding

29 ratings at Coursera

Explore cutting-edge AI architectures from SVMs and Fourier transforms to transformers, CLIP, and diffusion models for advanced vision and multimodal understanding applications.

• Coursera
• 12 hours 40 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Counting & Probability

Master combinatorial counting and probability theory to analyze algorithms, model uncertainty, and solve complex computational problems with systematic mathematical precision.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

Discrete-Time Markov Chains and Monte Carlo Methods

12 ratings at Coursera

Explore discrete-time Markov chains, Monte Carlo methods, and their applications in AI, reinforcement learning, and stochastic simulation with mathematical rigor.

• Coursera
• 1 day 8 hours 32 minutes
• Self-Paced
• Paid Course

Credential

Mastering Probability and Statistics

Comprehensive introduction to probability theory and statistics, covering descriptive and inferential techniques. Learn to apply concepts using R software on real datasets.

• edX
• 9 weeks, 4-6 hours/week
• Self-Paced
• $298.00

AI Workflow: Business Priorities and Data Ingestion

189 ratings at Coursera

Explore AI workflow in enterprise settings, covering design thinking, scientific approach, and data ingestion. Learn to prioritize business opportunities and build data pipelines using Python.

• Coursera
• 7 hours 35 minutes
• Self-Paced
• Paid Course

Math For Video Games: The Fastest Way To Get Smarter At Math

1939 ratings at Udemy

Learn Math for Video Game Design & Coding through Solving fun Video Game Problems

• Udemy
• 13 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Mathematical Foundations and Quantum Mechanics Essentials

64 ratings at Coursera

Master mathematical foundations and quantum mechanics essentials. Explore probability theory, complex numbers, matrices, and linear transformations. Delve into qubits, superposition, interference, and entanglement. Develop a well-rounded understanding of…

• Coursera
• 4 hours 37 minutes
• Self-Paced
• Paid Course

AI Workflow: Enterprise Model Deployment

62 ratings at Coursera

Explore Apache Spark, Docker, and Watson Machine Learning for enterprise model deployment. Learn best practices for data manipulation, model training, and tuning, focusing on recommender systems and scalable solutions.

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

Applied Statistics for Data Analytics

62 ratings at Coursera

Gain insights into foundational statistics, from descriptive analysis to hypothesis testing, while mastering practical techniques for extracting meaningful insights from data through hands-on examples.

• Coursera
• 1 day 10 hours 46 minutes
• Self-Paced
• Paid Course

AI Workflow: AI in Production

60 ratings at Coursera

Hands-on training in deploying AI models to production using Docker, Kubernetes, and IBM tools. Learn to build APIs, monitor performance, and iterate efficiently in enterprise AI workflows.

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

Mathematical Foundation For Machine Learning and AI

1294 ratings at Udemy

Learn the core mathematical concepts for machine learning and learn to implement them in R and python

• Udemy
• 4 hours 16 minutes
• Self-Paced
• Paid Course

Probability for Statistics and Data Science

1235 ratings at Udemy

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

• Udemy
• 3 hours 40 minutes
• Self-Paced
• Paid Course

Approximation Algorithms

33 ratings at Coursera

Explore efficient approximation techniques for NP-hard problems, learning to design and analyze algorithms that find near-optimal solutions with provable performance guarantees.

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

London School of Economics and Political Science

Statistics 1 Part 1: Introductory statistics, probability and estimation

31 ratings at edX

The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

• edX
• 5 weeks, 12-15 hours/week
• Self-Paced
• Free Online Course (Audit)