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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課程信息
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第 3 門課程（共 4 門）
高級
完成時間大約為8 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
- Statistics
- Linear Regression
- R Programming
- Linear Algebra
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 4 門）
高級
完成時間大約為8 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
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.
完成時間為 2 小時
7 個視頻 （總計 28 分鐘）, 4 個閱讀材料, 1 個測驗
完成時間為 1 小時
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.
完成時間為 1 小時
6 個視頻 （總計 29 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 1 小時
Linear regression
In this lecture, we focus on linear regression, the most standard technique for investigating unconfounded linear relationships.
完成時間為 1 小時
8 個視頻 （總計 23 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 1 小時
General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.
完成時間為 1 小時
6 個視頻 （總計 39 分鐘）, 1 個閱讀材料, 1 個測驗
審閱
來自ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES的熱門評論
由 JA 提供2020年9月8日
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2017年11月6日
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 JL 提供2020年5月16日
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...
由 DL 提供2016年6月7日
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.
關於 Advanced Statistics for Data Science 專項課程
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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