Investigate, Visualize, and Summarize Data Using R.

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Investigate, Visualize, and Summarize Data Using R.

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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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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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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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Learn what it takes to become a data scientist.

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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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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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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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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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This course will introduce you to a number of statistical tools and techniques that are routinely used by modern statisticians for a wide variety of applications.

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This course is designed to provide you with a simple and straightforward introduction to econometrics. Econometrics is an application of statistical procedures to the testing of hypotheses about economic relationships and to the estimation of parameters.

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Apr 27th 2015

Wieso hat uns Jakob Bernoulli das Glücksspiel neu erklärt? Was haben Fische mit Wahrscheinlichkeiten zu tun? Wann sind Drogenfahnder erfolgreich? Wer wissen will, wie man bei solchen Fragen zu guten Antworten gelangt, ist bei diesem MOOC genau richtig.

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Feb 2nd 2015

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

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The Science of Decisions.

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To earn the equivalent of a minor in Psychology, you must complete three broad introductory-level courses (Required Core Courses) as well as three upper-level courses (Elective Courses)

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As a Psychology Major, you will learn to think critically and scientifically about human behavior and mental processes. You will work to understand human problems and provide practical solutions to them.

10

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Feb 3rd 2015

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

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Apr 8th 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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Mar 2nd 2015

This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

6.5

Average: 6.5 (2 votes)

Feb 23rd 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.

9

Average: 9 (1 vote)

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