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The best Probability courses and tutorials on the internet

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Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
This course on statistics and probability provided by Khan Academy will be diving into the subchapters of analyzing categorical data, displaying and comparing quantitative data, summarizing quantitative data, modeling data distributions, exploring bi..
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
Precalculus taught by Sal Khan from Khan Academy will be diving into trigonometry, conic sections, vectors, matrices, complex numbers, probability and combinatorics, series..
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
The second in a three-part course on Mathematics that is taught by Khan Academy, diving into the subchapters of absolute value & piecewise functions, polynomials, factorization, quadratics, rrational numbers, complex numbers, exponential growth & dec..
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
A course created by Sal Khan, which will be diving into scatterplots, data distributions, two-way tables, study design, probability, binomial probability, normal distributions..
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
The last in a three-part series on Mathematics created by Sal Khan from Khan Academy, which will be diving into functions, polynomials, radical relationships, rational relationships, exponentials & logarithms, trigonometry, advanced equations & funct..
26-40h
Duke University
Coursera
Beginner
26-40h
Starts Apr 27
Good
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of explorato..


4.7
·
2906 reviews
Sal Khan
Khan Academy
Beginner
Self-paced
No certificate
AP-style statistics course created by Sal Khan from Khan Academy, which will be diving into analyzing categorical data, displaying and describing quantitative data, summarizing quantitative data, modeling data distributions, exploring bivariate numer..
22h
George Ingersoll
Udemy
All levels
22h
Self-paced
Okay
This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.


4.4
·
2694 reviews
26-40h
University of California, Santa Cruz
Coursera
Intermediate
26-40h
Starts Apr 27
Good
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of da..


4.6
·
1487 reviews
26-40h
Stanford University
Coursera
Expert
26-40h
Starts May 20
Good
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit..


4.7
·
998 reviews
11.5h
Krista King
Udemy
All levels
11.5h
Self-paced
Okay
Learn everything from Probability & Statistics, then test your knowledge with 400+ practice questions


4.6
·
1553 reviews
11.5h
Krista King
Udemy
All levels
11.5h
Self-paced
Okay
Learn everything from Probability & Statistics, then test your knowledge with 400+ practice questions


4.6
·
1553 reviews
5.5h
Jose Portilla
Udemy
All levels
5.5h
Self-paced
Okay
Learn how to apply probability and statistics to real data science and business applications!


4.5
·
1324 reviews
26-40h
University of Zurich
Coursera
Beginner
26-40h
Starts Apr 29
Good
This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertaint..


4.7
·
588 reviews
35h
Harvard University
edX
Intermediate
35h
Unknown
Okay
Probability and statistics bring logic to a world filled with randomness and lack of certainty. When you learn probability, you?ll also get the tools needed to understand data, engineering, economics, finance, philosophy, and science. Be able to solv..
36h
Microsoft
edX
Intermediate
36h
Self-paced
Okay
Polish up your match skills for a better understanding of the principles behind artificial intelligence. Discover how to use math fundamentals to promote your understanding of machine learning. Course material includes refreshers on Calculus, Optimiz..
16h
Massachusetts Institute of Technology
edX
Expert
16h
Unknown
Micromaster
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference ? Course 1 of 4 in the MITx MicroMasters program in Statistics and Data Science. T..
26-40h
University of Michigan
Coursera
Beginner
26-40h
Starts Apr 27
Good
Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving jud..


4.7
·
340 reviews
24h
Purdue University
edX
Intermediate
24h
Unknown
Okay
Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.
26-40h
Stanford University
Coursera
Expert
26-40h
Starts May 06
Good
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit..


4.6
·
331 reviews
24h
Purdue University
edX
Beginner
24h
Unknown
Okay
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.
120h
Massachusetts Institute of Technology
edX
Beginner
120h
In Session
Micromaster
Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability ?? part of the MITx Supply Chain Management MicroMasters Credential.
21h
Harvard University
edX
Beginner
21h
Self-paced
Okay
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics. Created specifically for those who are new to the study of probability, or for those who are seeking an approachable review of core concepts pri..
12h
Microsoft
edX
Intermediate
12h
Self-paced
xSeries
Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.

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