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:
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第 3 门课程（共 4 门）
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高级
完成时间大约为8 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
StatisticsLinear RegressionR ProgrammingLinear Algebra
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 4 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
高级
完成时间大约为8 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）
提供方
约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
教学大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Background
We cover some basic matrix algebra results that we will need throughout the class. This includes some basic vector derivatives. In addition, we cover some some basic uses of matrices to create summary statistics from data. This includes calculating and subtracting means from observations (centering) as well as calculating the variance.
完成时间为 2 小时
7 个视频 （总计 28 分钟）, 4 个阅读材料, 1 个测验
完成时间为 1 小时
One and two parameter regression
In this module, we cover the basics of regression through the origin and linear regression. Regression through the origin is an interesting case, as one can build up all of multivariate regression with it.
完成时间为 1 小时
6 个视频 （总计 29 分钟）, 2 个阅读材料, 1 个测验
完成时间为 1 小时
Linear regression
In this lecture, we focus on linear regression, the most standard technique for investigating unconfounded linear relationships.
完成时间为 1 小时
8 个视频 （总计 23 分钟）, 2 个阅读材料, 1 个测验
完成时间为 1 小时
General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.
完成时间为 1 小时
6 个视频 （总计 39 分钟）, 1 个阅读材料, 1 个测验
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来自ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES的热门评论
由 JA 提供Sep 8, 2020
This is an excellent course that enabled me to understand how multiple regression in linear models works behind the hood. The practical examples shown by the professor were very helpful. Thank you
由 JR 提供Nov 6, 2017
Great, detailed walk-through of least squares. Linear Algebra is a must for this course. To follow the last part requires knowledge of matrix (eigen?)decomposition, which derailed me somewhat.
由 DL 提供Jun 7, 2016
We need more advanced, theoretical courses on Coursera, like this one, in order to deeply understand the more general courses like Regression Models and Linear Models.
由 JL 提供May 16, 2020
I really enjoyed the course. It was well explained and the quizzes at regular intervals were helpful. It would be great if there were some practice exercises though...
关于 Advanced Statistics for Data Science 专项课程
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.
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