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Fundamentos de probabilidad y aplicaciones
by Mario Castillo , Astrid Bernal , Daniela Angulo- 4.8
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Approx. 16 hours to complete
Actualmente la probabilidad se ha convertido en una disciplina fundamental para científicos, ingenieros, economistas y administradores. La probabilidad es una poderosa herramienta, pero es, ante todo, una forma de pensar. El curso tiene como objetivo principal que los participantes adquieran una formación sólida en los conceptos más importantes de probabilidad, y sus aplicaciones....
Causal Inference
by Michael E. Sobel- 3.3
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Approx. 12 hours to complete
This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. We will study methods for collecting data to estimate causal relationships. Students will learn how to distinguish between relationships that are causal and non-causal; this is not always obvious....
Estatística não-paramétrica para a tomada de decisão
by Alexandre Leoneti- 4.4
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Approx. 13 hours to complete
Os testes estatísticos não-paramétricos são métodos que têm maior relevância nas ciências sociais aplicadas, pois permitem trabalhar com pequenas amostras ou amostras das quais não se tenha certeza de que sejam provenientes de população com distribuição normal, assumindo poucas hipóteses sobre a distribuição de probabilidade da população. SOBRE O CURSO Seja bem vindo...
Estadística aplicada a los negocios
by Magdalena Cornejo- 4.6
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Approx. 19 hours to complete
La toma de decisiones está en la esencia de los negocios. Gerenciar es tomar decisiones, muchas veces bajo presión, con información desordenada y en un contexto de incertidumbre. Un aspecto básico es entender y analizar la información, organizar los datos de forma de facilitar su posterior uso y la toma de decisiones....
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Module 1 Welcome to Statistics for Genomic Data Science What is Statistics? Finding Statistics You Can Trust (4:44) Getting Help (3:44) What is Data?...
Методология научных исследований и котики
by Савельев Владимир- 4.7
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Approx. 14 hours to complete
Курс “Методология научных исследований и котики” знакомит с основами исследовательской деятельности. В нем описан полный цикл проведения научных исследований - от постановки научной проблемы до публикации статьи. Вы узнаете, чем отличаются научные исследования от ненаучных и познакомитесь с базовыми типами исследований и основами статистической обработки данных. Курс позволит вам научиться: a....
Fundamentos de estadística aplicada
by Astrid Bernal , Mario Castillo , Daniela Angulo- 4.3
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Approx. 29 hours to complete
El curso está orientado a profesionales de diferentes campos, que estén interesados en adquirir conceptos fundamentales de estadística aplicada. El contenido del curso será particularmente útil para profesionales que estén interesados en adelantar estudios de postgrado en ingeniería, administración o economía, entre otras profesiones, y que requieran de una adecuada fundamentación en estadística....
Response Surfaces, Mixtures, and Model Building
by Douglas C. Montgomery- 4.7
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Approx. 13 hours to complete
Factorial experiments are often used in factor screening. ; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response....
Знакомство с R и базовая статистика
by Варфоломеева Марина Александровна , Хайтов Вадим Михайлович- 4.8
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Approx. 20 hours to complete
Статистическая обработка данных и визуализация результатов анализа - это неизбежный этап работы с данными, полученными в различных областях естественных наук, в социологии, психологии или экономике. В этом курсе мы подробно разберем основы статистики и познакомимся с основами языка статистического программирования R. Мы научим вас гибко использовать средства визуализации (диаграммы, графики и т....
Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
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Approx. 8 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models....
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