Statistics & Probability Courses and Certifications

NPTEL;  IIT Madras

Introduction to Probability and Statistics

This course is aimed at being a pre-term or a preparatory course for probability and statistics. It is very basic and introduces the students to the understanding of data and measuring associations. It also introduces the concepts of probability and dist…

• YouTube
• 9 hours
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Mathematics - Probability and Statistics

Comprehensive exploration of probability and statistics, covering set theory, probability laws, distributions, sampling, descriptive statistics, estimation, and hypothesis testing.

• YouTube
• 1 day 14 hours
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Probability and Statistics

Comprehensive exploration of probability theory, statistical distributions, sampling, estimation, and hypothesis testing, providing a solid foundation for data analysis and statistical inference.

• YouTube
• 1 day 14 hours
• Self-Paced
• Free Video

Great Learning

Statistics for Data Science - Probability and Statistics for Engineers

Comprehensive 12-hour course covering essential statistics concepts for data science, from basics to advanced topics. Taught by Stanford PhD, includes practical applications and business problem-solving.

• YouTube
• 12 hours
• Self-Paced
• Free Video

Understanding Clinical Research: Behind the Statistics

892 ratings

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

• Coursera
• 1 day 3 hours 11 minutes
• Self-Paced
• Paid Course

• Best of All Time

Statistics 110 - Probability

1 rating

Comprehensive introduction to probability theory, covering fundamental concepts, distributions, and applications. Ideal for understanding statistics, science, and randomness in various fields.

• YouTube
• 1 day 3 hours
• Self-Paced
• Free Video

Introduction to Statistics

4293 ratings at Coursera

You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

• Coursera
• 14 hours 6 minutes
• Self-Paced
• Paid Course

UofU Data Science

Probability and Statistics - Spring 2023

Master probability theory and statistical inference through conditional probability, Bayes' rule, random variables, expectation, hypothesis testing, and t-distributions.

• YouTube
• 1 day 13 hours 31 minutes
• Self-Paced
• Free Video

Jeremy Klassen

International Baccalaureate Mathematics - Statistics, Probability, and 3D Geometry

Master advanced IB mathematics covering statistics, 3D geometry, probability, and proof techniques through comprehensive lessons on distributions, coordinate geometry, and reasoning.

• YouTube
• 10 hours 26 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Probability and Statistics

Comprehensive exploration of probability and statistics concepts, covering fundamental principles, algebraic structures, and advanced topics through 79 detailed lectures.

• YouTube
• 1 day 14 hours
• Self-Paced
• Free Video

Great Learning

Probability and Statistics - Bayes Theorem Probability - Normal Distribution Probability

Probability Theory and Statistics are very essential when it comes to data science or predictive modeling as they form the basis for decision making. Thus it becomes, extremely important for a data scientist to be good with probability.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Free Video

Wondrium

Sampling and Probability - Learning Statistics: Concepts and Applications in R

Explore sampling, probability, and statistical tools for extracting key information from data. Learn about data collection, probabilistic reasoning, and practical applications of Bayes' Rule in everyday life.

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

Insights into Mathematics

The Normal Distribution - Probability and Statistics

Explore the normal distribution, its importance in statistics, and the Central Limit Theorem. Learn about probability density, standard and general normal distributions, and cumulative distribution functions.

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

Intro to Descriptive Statistics

12 ratings

Learn essential concepts of descriptive statistics, including data visualization, central tendency, variability, standardization, and sampling distributions, to analyze and interpret data effectively.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course

Career Certificate

Probabilistic Graphical Models

1552 ratings at Coursera

Explore probabilistic graphical models, a powerful framework for encoding complex probability distributions, with applications in machine learning, medical diagnosis, and more.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses