Top 13 Probability and statistics online courses with certification from Udemy, Coursera, edx, linkedin, Alison. Become a Probability & Statistics Master. These courses are suitable for beginners, intermediate learners as well as experts.Click here for All Mathematics Courses (Algebra, Geometry, Graph Theory, Master Math, Trigonometry, and more)
★ 4.6 (7,087+ ratings) | 51,544+ students | 14 hours on-demand video | 134 downloadable resources | Full lifetime access | 30-Day Money-Back Guarantee | Certificate of completion.
Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions.
What you'll learn:
Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores.
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals.
★ 4.9 (388+ ratings) | 1,212+ students | 8 hours on-demand video | Full lifetime access | 30-Day Money-Back Guarantee | Certificate of completion.
You will learn probability and basic techniques of data analysis and inference. Additionally, students will gain a deeper understanding of the underlying concepts.
This course will begin with an overview of data types and descriptive Statistics. There will be extensive coverage of probability topics along with an introduction to discrete and continuous probability distributions.
★ 4.7 (3,768+ ratings) | 27,422+ students | 21.5 hours on-demand video | 31 downloadable resources | Full lifetime access | 30-Day Money-Back Guarantee | Certificate of completion.
This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.
This workshop is designed to help you make sense of basic probability and statistics with easy-to-understand explanations of all the subject's most important concepts.
By the end of this workshop you should be able to pass any introductory statistics course.
★ 4.5 (266+ ratings) | 1,405+ students | 3 hours on-demand video | Full lifetime access | 30-Day Money-Back Guarantee | Certificate of completion.
What you'll learn:
The common misconceptions and mistakes made in Probability and Statistics, for everyday Judgements and Decisions
The Psychological Biases and Fallacies that make us assume and conclude wrongly, when using Probability and Statistics
How to try and minimize such pitfalls, and use probability and statistics more effectively while making decisions.
Learn and Avoid the common Misconceptions and Mistakes, in Probability & Statistics.
★ 4.7 (249+ ratings) | 1,572+ students | 11.5 hours on-demand video | Full lifetime access | 30-Day Money-Back Guarantee | Certificate of completion.
Learn the statistics & probability for data science and business analysis.
What you'll learn:
Master the fundamentals of statistics for data science & data analytics
Master descriptive statistics & probability theory
Machine learning methods like Decision Trees and Decision Forests
Probability distributions such as Normal distribution, Poisson Distribution and more
Hypothesis testing, p-value, type I & type II error
Logistic Regressions, Multiple Linear Regression, Regression Trees.
★ 4.8 (5+ ratings) | 368+ students | 1hr 59min of on-demand video.
This course is designed to make the learning and understanding of Probability Theory as easy and fun as possible. The course contains all the material that is usually part of Probability Theory and Statistics modules.
Probability Theory and Statistics and LOTS OF EXAMPLES.
★ 4.6 (1,169+ ratings) | 58,448+ students | Approx. 16 hours to complete | Shareable Certificate.
In this course consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.
Key topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.
★ 4.7 (268+ ratings) | 17,931+ students | Approx. 22 hours to complete | Shareable Certificate.
This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science.
The core concept of the course is random variable — i.e. variable whose values are determined by random experiment. Random variables are used as a model for data generation processes we want to study.
This course requires basic knowledge in Discrete mathematics (combinatorics) and calculus (derivatives, integrals).
★ 4.7 (1,133+ ratings) | 42,663+ students | Approx. 30 hours to complete | Shareable Certificate.
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 uncertainty in your daily life.
The topics covered are: "Probability", "Conditional Probability", "Applications", "Random Variables", and "Normal Distribution".
★ FREE to start | Self-paced | 117,721 already enrolled.
Learn statistical and probabilistic approaches to understand and gain insights from data.
What you'll learn:
The mathematical foundations for machine learning
Statistics literacy: understand the meaning of statements such as "at a 99% confidence level".
★ 268+ members like this content | 5,068+ Learners.
In this course, Professor Eddie Davila teaches common terms, formulas, and techniques related to probability, the area of statistics where this course focuses.
Learn multiple event probabilities and discusses when to add and subtract probabilities.
★ 45+ students | 6-10 hours duration.
Learn how to use probability and statistics to analyze the relative frequency of events in this free online course.
This course explores the significance of these mathematical techniques to ascertain the credibility of an argument supported by seemingly persuasive data.
Start learning about the methods used to determine causation in a study by analyzing and interpreting the data.
★ 2,599+ students | 1.5-3 hours duration.
This free online mathematics course will be a massive help to any student studying mathematical probability and chance.
It covers topics from calculating the probability of simple events to Bayes Theorem and Binomial distribution.