E.g., 2016-09-25
E.g., 2016-09-25
E.g., 2016-09-25
Sep 26th 2016

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Average: 7 (2 votes)
Sep 26th 2016

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 exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.

Average: 10 (1 vote)
Sep 26th 2016

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 data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach.

No votes yet
Sep 26th 2016

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.

Average: 7 (8 votes)
Sep 19th 2016

The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it. It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering.

Average: 5.3 (4 votes)
Sep 19th 2016

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard.

Average: 9 (1 vote)
Sep 19th 2016

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard.

Average: 8 (1 vote)
Sep 12th 2016

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Average: 5.5 (2 votes)
Sep 12th 2016

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.

No votes yet
Sep 1st 2016

Strengthen your critical thinking skills in this inquiry-based Pre-calculus course.

No votes yet
Aug 29th 2016

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.

Average: 8.8 (4 votes)
Aug 29th 2016

Il corso copre la matematica di base, permettendo di colmare eventuali lacune e di mettere a punto la preparazione necessaria all'ingresso all'università.
The course covers the fundamentals of Math, thus allowing to fill high school gaps and to optimize students’ knowledge as they start college.


Average: 3.7 (3 votes)
Aug 29th 2016

Il percorso aiuta a svelare le insidie del gioco d’azzardo presentando in modo semplice ed intuitivo la Matematica che ne governa il funzionamento.

No votes yet
Apr 22nd 2016

La probabilidad moderna surge con el objetivo mejorar la estrategia en los juegos de azar. Sin embargo, en la actualidad esta disciplina tiene múltiples aplicaciones, aparece en ciencias, ingeniería y muchas otras materias.

Average: 7 (3 votes)
Feb 23rd 2016

Les méthodes statistiques sont largement répandues dans presque tous les secteurs de l’activité humaine : sciences et techniques, économie, sciences humaines et sociales. Elles font partie des connaissances de base de l’ingénieur. Parmi les innombrables applications dans le domaine industriel, on peut citer le contrôle de qualité, la fiabilité, l’analyse des résultats de mesure, la prévision et la planification. L’objectif de ce MOOC est d’initier les apprenants aux raisonnements et aux méthodes statistiques usuelles. Les compétences développées portent sur les méthodes et outils de la statistique inférentielle utiles à l’ingénieur.

No votes yet
Feb 2nd 2016

An introduction to probabilistic models, including random processes and the basic elements of statistical inference.

Average: 9 (2 votes)
Dec 7th 2015

The PACE Mathematical Foundations MOOC is an online program designed to enhance your mathematics skills in the areas of Number Theory, Algebra, Geometry, Probability and Statistics. This MOOC is designed to help develop the skills needed to be successful in college-level mathematics.

Average: 6.2 (10 votes)
Oct 5th 2015

How should we interpret chance around us? Watch beautiful mathematical ideas emerge in a glorious historical tapestry as we discover key concepts in probability, perhaps as they might first have been unearthed, and illustrate their sway with vibrant applications taken from history and the world around.

No votes yet
Sep 28th 2015

If you are in the business environment, you need to have basic quantitative skills, including a combination of algebra and statistics. If you’ve tried gaining these before in a traditional classroom environment and struggled, this course can help you. You may want to use it as a first step before taking a college course in quantitative methods.

Average: 4 (2 votes)
Jun 24th 2015

This course aims to provide a firm grounding in the foundations of probability and statistics.

Average: 7.5 (6 votes)

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