Probability Theory Courses and Certifications

What are the Chances? Probability and Uncertainty in Statistics

15 ratings at Coursera

Explore probability, uncertainty, and statistical significance in data analysis. Learn to interpret findings, conduct hypothesis tests, and understand regression analysis for informed decision-making.

• Coursera
• 10 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• On-Demand
• Free Online Course (Audit)

Computational and Graphical Models in Probability

Master computational probability through simulation techniques, network analysis, and graphical models using R. Build expertise in ERGMs and PGMs while gaining practical skills for complex data analysis and machine learning applications.

• Coursera
• 15 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Random Processes

Master correlation functions, spectral analysis, and Monte Carlo simulation techniques for understanding and modeling random processes in engineering systems, with focus on practical applications and data analysis.

• Coursera
• 15 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistical Methods for Computer Science

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

• Coursera
• On-Demand
• Paid Course
• 3 courses

Discrete Stochastic Processes

This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of Discrete stochastic processes.

• MIT OpenCourseWare
• 33 hours
• On-Demand
• Free Video

MIT RES.6-012 Introduction to Probability, Spring 2018

Comprehensive introduction to probability theory, covering key concepts, tools, and applications. Explores discrete and continuous probability, random variables, inference, and stochastic processes through lectures and examples.

• YouTube
• 1 day 6 hours
• On-Demand
• Free Video

Microcredential

Statistics with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

Microcredential

Data Analysis with R

Master data analysis through R programming, from basic probability to advanced statistical modeling, while learning to create compelling visualizations and reproducible reports for informed decision-making.

• Coursera
• On-Demand
• Paid Course
• 3 courses

Emerging Technology, Disruption, and AI

Explore emerging tech frontiers, predict future trends, and develop skills to thrive in a disruptive world. Gain insights on AI, futurism, and decision-making to lead innovation in the digital era.

• Coursera
• 15 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Process Safety and Risk Analysis

74 ratings at Coursera

Gain practical skills in identifying, evaluating, and mitigating hazards in chemical process engineering. Learn from historical incidents and apply risk assessment techniques for safer industrial practices.

• Coursera
• 8 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

An Intuitive Introduction to Probability

1750 ratings at Coursera

Intuitive introduction to probability theory, covering key concepts and practical applications. Gain tools to handle uncertainty in daily life through engaging modules and exercises.

• Coursera
• 1 day 5 hours 34 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science Foundations: Statistical Inference

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

• Coursera
• 17 weeks, 7 hours a week
• On-Demand
• Paid Course
• 3 courses

Probability Theory: Foundation for Data Science

233 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 16 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Insurance: The Archetypal Risk Management Institution - Financial Markets

Explore insurance as a risk management tool, its historical development, regulatory aspects, and current challenges in this comprehensive lecture on financial markets.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video