E.g., Saturday, September 5, 2015
E.g., Saturday, September 5, 2015
E.g., Saturday, September 5, 2015
Self Paced

Investigate, Visualize, and Summarize Data Using R.

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Self Paced

Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

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Self Paced

This course follows on from FE & RM Part I. We will consider portfolio optimization, risk management and some advanced examples of derivatives pricing that draw from structured credit, real options and energy derivatives. We will also cast a critical eye on how financial models are used in practice.

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Self Paced

A matemática é a ciência do raciocínio lógico e abstrato, estuda quantidades, medidas, espaços, estruturas e variações. Um trabalho matemático consiste em procurar por padrões, formular conjecturas e, por meio de deduções rigorosas a partir de axiomas e definições, estabelecer novos resultados.

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Self Paced

Learn what it takes to become a data scientist.

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Self Paced

This course will introduce you to the fundamentals of probability theory and random processes. The theory of probability was originally developed in the 17th century by two great French mathematicians, Blaise Pascal and Pierre de Fermat, to understand gambling.

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Self Paced

This course will introduce you to business statistics, or the application of statistics in the workplace.Statistics is a course in the methods for gathering, analyzing, and interpreting data.

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Self study

In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge.

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Self Paced Course - Start anytime

En este curso de Probabilidad y Estadística estudiamos dos áreas fundamentales del conocimiento: La Probabilidad como una rama de las matemáticas que mide cuantitativamente la posibilidad de que un experimento produzca un determinado resultado, y la Estadística como ciencia formal que estudia la recolección, análisis e interpretación de datos de una muestra.

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To be announced

En este curso presentaremos los contenidos fundamentales sobre Estadística descriptiva.

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Jul 7th 2015

Learn basic statistics in a practical, experimental way, through statistical programming with R, using examples from the health sciences.

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Oct 15th 2015

Si alguna vez has tenido problemas con la estadística, este curso está hecho para ti. Es ideal para investigadores y alumnos que se encuentran cursando trabajos fin de grado, trabajos fin de máster o realizando la tesis y que quieren realizar un análisis cuantitativo en sus estudios.

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Sep 28th 2015

Our world is rich with data sources, and technology makes data more accessible than ever before! To help ensure students are future ready to use data for making informed decisions, many countries around the world have increased the emphasis on statistics and data analysis in school curriculum–from elementary/primary grades through college. This course allows you to learn, along with colleagues from other schools, an investigation cycle to teach statistics and to help students explore data to make evidence-based claims.

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Sep 14th 2015

Ce cours permet d’apprendre la statistique à l’aide du logiciel libre R. Le recours aux mathématiques est minimal. L’objectif est de savoir analyser des données, de comprendre ce que l’on fait, et de pouvoir communiquer ses résultats.

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Aug 24th 2015

Le MOOC « Fondamentaux pour le big data » permet d'acquérir efficacement le niveau prérequis en informatique et en statistiques pour suivre des formations dans le domaine du big data.

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Sep 7th 2015

Learn how to draw conclusions about populations or scientific truths from data.

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Sep 7th 2015

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit.

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Jun 1st 2015

Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.

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