Invitation to Mathematics הזמנה למתמטיקה (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 13 weeks 主页: https://www.coursera.org/course/welcome2math 简介: קורס זה עוסק במתמטיקה של בית ספר תיכון מנקודת מבט מתקדמת. מטרתו העיקרית היא לחשוף סטודנטים לעתיד לאופן שבו מתמטיקאים רואים מקצוע זה, ובכך להכין אותם ללימודי מתמטיקה ברמת אוניברסיטה. |
Computational Methods for Data Analysis (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/compmethods 简介: Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.
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Computing for Data Analysis (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 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 (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. |
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. |
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. |