To Be Announced

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 1st 2014

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.

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Aug 26th 2014

Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.

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Jul 18th 2014

En este curso presentaremos los contenidos fundamentales sobre Estadística descriptiva.

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Jul 7th 2014

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

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Jul 7th 2014

Learn the concepts and tools behind reporting modern data analyses in a reproducible manner.

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Jul 7th 2014

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

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Jul 7th 2014

This short course will provide a 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 short video-based tutorials.

9
Average: 9 (1 vote)
Jul 7th 2014

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

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Jul 7th 2014

Learn the basic components of building and applying prediction functions with an emphasis on practical applications.

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Jul 7th 2014

Learn how to program in R and how to use R for effective data analysis. This is the second course in the Johns Hopkins Data Science Specialization.

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Jul 7th 2014

Learn how to gather and clean data from a variety of sources. This is the third course in the Johns Hopkins Data Science Course Track.

10
Average: 10 (1 vote)
Jul 7th 2014

We are constantly using experiments to tweak and find improvements in our personal lives, our communities, and in our work. But are you doing it efficiently? Or are you changing one thing at a time and hoping for the best? In this course, you'll learn how to plan efficient experiments using statistical methods - enabling you to test for many variables that lead to better results.

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Jul 7th 2014

This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.

10
Average: 10 (1 vote)
Jul 1st 2014

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,还可以处理多水平数据和纵向数据,是非常重要的多元数据分析工具。本课程系统地介绍结构方程模型和LISREL软件的应用,内容包括:结构方程分析(包括验证性因子分析)的基本概念、统计原理、在社会科学研究中的应用、常用模型及其LISREL程序、结果的解释和模型评价。学员应具备基本的统计知识(如:标准差、t-检验、相关系数),理解回归分析和因子分析的概念。 注:本课程配套教材为《结构方程模型及其应用》(以LISREL软件为例)。

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Jun 30th 2014

Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data.

3
Average: 3 (2 votes)

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