统计和数据分析 公开课(将开始)

      字母序 将开始 进行中

Scientific Computing (CourseraArchive) 1 个评论 关注

开始时间: 04/22/2022 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 (CourseraArchive) 4 个评论 关注

开始时间: 04/22/2022 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.

Introduction to Statistics (Udacity) 3 个评论 关注

开始时间: 04/22/2022 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.

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

开始时间: 04/22/2022 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.

Mathematical Biostatistics Boot Camp (CourseraArchive) 2 个评论 关注

开始时间: 04/22/2022 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.

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

开始时间: 04/22/2022 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".

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

开始时间: 04/22/2022 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.

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

开始时间: 04/22/2022 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.

分析前沿 (学堂在线) 0 个评论 关注

开始时间: 04/22/2022 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。

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: 04/22/2022 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。

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

开始时间: 04/22/2022 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.

Descriptive Statistics (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 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.

Applied Regression Analysis (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 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.