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Learn Probability, earn certificates with free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
Explore fundamental probability concepts through coin flips and dice rolls, uncovering the nature of randomness and its practical applications in everyday scenarios.
Unlock the solution to Apple's challenging Split The Coins interview riddle through step-by-step problem-solving techniques and experimental approaches to discover the optimal answer.
Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.
Learn how to model problems, and how to optimize performance by using some of the advanced features of Python.
6.00.2x is an introduction to using computation to understand real-world phenomena.
Enhance Python skills with coding standards, testing, and mathematical problem-solving. Apply probability, combinatorics, and counting to computational challenges through engaging weekly mini-projects.
Intense immersion into mathematical biostatistics, covering probability, expectations, distributions, confidence intervals, and more. Ideal for students with college-level math and calculus knowledge.
Learn to draw conclusions from data using statistical inference techniques, covering probability, distributions, hypothesis testing, and advanced methods for robust analysis.
We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.
Explore statistical concepts, from descriptive methods to inferential techniques. Learn to calculate, interpret, and apply statistics using real-world examples and free software.
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, taking students from the basics of the subject up to its applications in science and engineering
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.
You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.
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