Probability Courses and Certifications

Statistics for Data Science Essentials

12 ratings at Coursera

Enhance probability skills and learn data interpretation using central limit theorem and confidence intervals. Complete weekly math assignments to reinforce statistical concepts.

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

The Power of Statistics

891 ratings at Coursera

Explore statistical concepts and techniques for data analysis, including descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing using Python.

• Coursera
• 1 day 7 hours 10 minutes
• Self-Paced
• Paid Course

Prediction Models with Sports Data

42 ratings at Coursera

Learn to forecast sports game outcomes using Python, focusing on logistic regression modeling with team expenditure data. Apply and evaluate models for EPL, NBA, and NHL, exploring betting odds and analytics.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Causal Information

Explore causal decision-making in data science, focusing on optimizing policies, pricing, and actions using causal structures and advanced analytical techniques for business, medical, and technological applications.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Introduction to probability and random variables

Explore the fundamentals of probability theory and random variables in this concise introduction to signals and systems.

• Polimi OPEN KNOWLEDGE
• 3 weeks
• Self-Paced
• Free Certificate

STAT 414: Introduction to Probability Theory

Learn probability theory fundamentals, applications, and problem-solving skills. Covers probability assignment, discrete and continuous distributions, joint distributions, and functions of random variables.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

IIT Delhi;  NPTEL

Introduction to Probability Theory and Statistics

Comprehensive exploration of probability theory and statistics, covering axioms, distributions, estimations, and hypothesis testing. Equips learners with tools for real-world problem-solving in finance and data analysis.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

IIT Kanpur;  NPTEL

Essentials of Data Science With R Software-1: Probability and Statistical Inference

Any data analysis is incomplete without statistics. After getting the data, the statistical tools aims to extract the information hidden inside the data.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

IIT Delhi;  NPTEL

Advanced Probability Theory

Explore probability theory, from axioms to distributions, generating functions, and limit theorems. Develop skills in analyzing random variables and their properties for advanced statistical applications.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

College Mathematics Series Courses II ——Linear algebra & probability and statistics

Master essential mathematical concepts from linear algebra, data analysis, and probability theory for practical problem-solving and systematic mathematical training.

• XuetangX
• Self-Paced
• Free Online Course

Probability Theory with Actuarial Applications

Master probability theory fundamentals and actuarial applications through rigorous training in random variables, distributions, and insurance modeling for Exam P preparation.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Bayesian Probability

Learn the math behind uncertainty — and how to get rid of it!

• Brilliant
• 4 hours
• Self-Paced
• Paid Course

Math behind Moneyball

97 ratings at Coursera

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

• Coursera
• 65 hours
• Self-Paced
• Paid Course

Statistics: Unlocking the World of Data

2 ratings

Explore the ideas and methods behind the statistics you encounter in everyday life.

• edX
• 8 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course