Statistics & Probability Courses and Certifications

Inferential Statistical Analysis with Python

937 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• Self-Paced
• Paid Course

Linear Regression and Modeling

1787 ratings at Coursera

Explore simple and multiple linear regression models using R. Learn to fit, examine, and utilize regression for analyzing relationships between variables and making predictions.

• Coursera
• 10 hours 33 minutes
• Self-Paced
• Paid Course

Mathematics for Machine Learning: PCA

3184 ratings at Coursera

Explore mathematical foundations of Principal Component Analysis (PCA) for dimensionality reduction. Learn statistics, inner products, orthogonal projections, and derive PCA from a geometric perspective.

• Coursera
• 20 hours 39 minutes
• Self-Paced
• Paid Course

Career Certificate

Mathematical Foundations for Deep Learning

194 ratings at CodeSignal

Master essential mathematical concepts - linear algebra, calculus, optimization, and statistics - to build a solid foundation for understanding and implementing deep learning algorithms effectively.

• CodeSignal
• 14 hours
• Self-Paced
• Free Certificate
• 5 courses

Complete Data Analyst Bootcamp From Basics To Advanced

17061 ratings at Udemy

Master Data Analysis: Python, Stats, Gen AI, EDA, AWS, SQL ,Excel, Power BI, Tableau,ETL,Snowflake & Feature Engineering

• Udemy
• 3 days 16 hours 51 minutes
• Self-Paced
• Paid Course

Introduction to Self-Driving Cars

2935 ratings at Coursera

Explore hardware, software, safety, and control systems for autonomous vehicles. Develop Python code to navigate a simulated self-driving car on a racetrack using CARLA.

• Coursera
• 1 day 11 hours 10 minutes
• Self-Paced
• Paid Course

Schmid College, Chapman University

GCI Speaker Series: Probability, Statistics, and Philosophical Questions - Aubrey Clayton

Explore probability, statistics, and fallacies with Dr. Aubrey Clayton in this thought-provoking speaker series on economic data analysis and philosophical implications.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Survival Probability and Record Statistics for Random Walks

Explore survival probability and record statistics for random walks, including correlated models and applications to active particles, with insights on universality and extreme value statistics.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Joint Continuous Random Variables - Lecture 10

Master probability concepts through double integrals, marginal PDFs, and conditional expectations while exploring joint continuous random variables and their independence relationships.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Joint Discrete Random Variables and Distributions - Lecture 9

Master probability concepts from exponential distribution to joint discrete random variables, including marginal and conditional probability calculations for comprehensive statistical analysis.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Expectation of Random Variables - Lecture 8

Master probability concepts through discrete and continuous random variables, exploring Bernoulli, geometric, exponential, and normal distributions with practical examples and linearity principles.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Understanding Independence - Lecture 4

Master the concept of independence in probability theory through detailed explanations, examples, and practical applications in statistical analysis and data science.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Set Rules and Basic Probability Concepts - Lecture 2

Master fundamental probability concepts, set rules, and sample spaces through practical examples of repeated trials and permutations, building a strong foundation in statistical analysis.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Sets, Sample Spaces, and Events - Lecture 1

Explore fundamental concepts of probability theory including sets, sample spaces, and events to build a strong foundation in statistical analysis.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Gautam Varde

Bounds on Probability and Chebyshev's Inequality in Probability and Statistics

Explore Chebyshev's Inequality, its derivation, and practical applications in probability and statistics for engineering and business students.

• YouTube
• 24 minutes
• Self-Paced
• Free Video