E.g., Monday, December 22, 2014
E.g., Monday, December 22, 2014
E.g., Monday, December 22, 2014
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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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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Here’s your chance to review the fundamental processes of mathematics with emphasis on problem-solving techniques.

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Investigate, Visualize, and Summarize Data Using R.

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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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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 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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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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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.

4
Average: 4 (1 vote)
Jan 19th 2015

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

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Feb 9th 2015

Explore the intersection of statistics and functional magnetic resonance imaging (fMRI), a non-invasive technique for studying brain activity.

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Feb 9th 2015

This short course will provide an introductory, hands-on introduction to statistics used in educational research and evaluation. Participants will learn statistical concepts, principles, and procedures by building Excel spreadsheets from scratch in a guided learning approach using very short video-based tutorials.

9
Average: 9 (1 vote)
Jan 19th 2014

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

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