统计和数据分析 公开课(字母序)

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Applied Regression Analysis (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/appliedregression

简介: Regression modeling is the standard method for analysis of continuous response data. This course provides theoretical and practical training in statistical modeling with particular emphasis on linear and multiple regression.

Computational Methods for Data Analysis (Coursera) 1 个评论 关注

开始时间: 01/05/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/compmethods

简介:

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

Computing for Data Analysis (Coursera) 7 个评论 关注

开始时间: 09/23/2013 持续时间: 4 weeks

主页: https://www.coursera.org/course/compdata

简介: This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

Core Concepts in Data Analysis (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/datan

简介: Learn both theory and application for basic methods that have been invented either for developing new concepts – principal components or clusters, or for finding interesting correlations – regression and classification. This is preceded by a thorough analysis of 1D and 2D data.

Data Analysis and Statistical Inference (Coursera) 1 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/statistics

简介: 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.

Descriptive Statistics (Coursera) 0 个评论 关注

开始时间: 01/04/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/descriptivestats

简介: Learn about descriptive statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of descriptive statistics in published research and how to generate descriptive statistics yourself, using freely available statistical software.

Elementary Statistics (Udacity) 2 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/st095

简介: We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

Exploratory Data Analysis (Udacity) 0 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/ud651

简介: Exploratory Data Analysis (EDA) is an approach to data analysis for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey, EDA focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, consider how that date set came into existence, and decide how it can be investigated with more formal statistical methods.

Inferential Statistics (Coursera) 0 个评论 关注

开始时间: 02/29/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/inferentialstats

简介: Learn about inferential statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of inferential statistics in published research and how to generate these statistics yourself, using freely available statistical software.

Introduction to Statistics (Udacity) 3 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/st101

简介: 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.

Mathematical Biostatistics Boot Camp (Coursera) 2 个评论 关注

开始时间: 07/13/2015 持续时间: 7 weeks

主页: https://www.coursera.org/course/biostats

简介: This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Mathematical Biostatistics Boot Camp 2 (Coursera) 0 个评论 关注

开始时间: 09/21/2015 持续时间: 7 weeks

主页: https://www.coursera.org/course/biostats2

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

Passion Driven Statistics (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/pdstatistics

简介: With existing data, you will develop skills in data analysis and basic statistics by exploring your own research question.

Qualitative Research Methods (Coursera) 0 个评论 关注

开始时间: 10/26/2015 持续时间: 6 weeks

主页: https://www.coursera.org/course/qualitativemethods

简介: Learn about the qualitative approach to the social and behavioral sciences, using qualitative methods of inquiry and analysis. Learn to evaluate qualitative research and how to collect qualitative data and perform qualitative analyses yourself.

Scientific Computing (Coursera) 1 个评论 关注

开始时间: 11/16/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/scientificcomp

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

Statistics One (Coursera) 4 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/stats1

简介: Statistics One is a comprehensive yet friendly introduction to statistics.

Statistics: Making Sense of Data (Coursera) 1 个评论 关注

开始时间: 04/01/2013 持续时间: 47 weeks

主页: https://www.coursera.org/course/introstats

简介: This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

The Caltech-JPL Summer School on Big Data Analytics (Coursera) 0 个评论 关注

开始时间: 09/02/2014 持续时间: 2 weeks

主页: https://www.coursera.org/course/bigdataschool

简介: This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.

Unpredictable? Randomness, Chance and Free Will (Coursera) 0 个评论 关注

开始时间: 01/06/2014 持续时间: 8 weeks

主页: https://www.coursera.org/course/randomness

简介: This cross-disciplinary course deals with the undetermined, the unpredictable- or what appears to be such. Learn about the usefulness of randomness in communication and computation, the intrinsic randomness of quantum phenomena, the unpredictability of the weather, the role of chance in evolution, and the implications of the neural activity of the brain on our "free will".

从数据中学习 (学堂在线) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: http://xuetangx.com//courses/CaltechX/CS1156x/_/about

简介: 机器学习入门课程包括理论、算法和应用。我们关注的是真正理解,而不是“知之皮毛”。

分析前沿 (学堂在线) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: http://xuetangx.com//courses/MITx/15.071x/_/about

简介: 通过引人入胜的事例和范例,发现数据的力量,使用分析法来为你的事业和生活带来优势。

棒球统计学入门:棒球分析导论 (学堂在线) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: http://xuetangx.com//courses/BUx/SABR101x/_/about

简介: 棒球统计学入门、棒球分析、数据科学、R语言和结构化查询语言。

窃听大数据:互联时代的隐私与监听 (学堂在线) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: http://xuetangx.com//courses/CornellX/ENGRI1280x/_/about

简介: 研究互联世界中的隐私问题。

网络、人群和市场 (学堂在线) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: http://xuetangx.com//courses/CornellX/INFO2040x/_/about

简介: 研究现代世界互通性中的社会、经济和科技领域所面临的关键性问题。

软件包在流行病学研究中的应用 Application of software packages in epidemiological studies (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/epiapps

简介: 课程的主要目标是:(1)了解流行病学研究过程中,从研究设计、现场数据采集和录入、到数据清理和分析,常用的几种软件包的使用方法;(2)加强研究中对流行病学基础理论知识的灵活应用。

迎接改变:提升自我的新途径 (学堂在线) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: http://xuetangx.com//courses/HarvardX/GSE1x/_/about

简介: 在整个课程中贯穿始终的是,要将有关个人改变的心理学新理论应用于自己的个人提升目标当中。