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Advanced Linear Models for Data Science 1: Least Squares

Advanced Linear Models for Data Science 1: Least Squares

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11 hours
English
Johns Hopkins University
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Checklist

Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - Johns Hopkins University.

Price

This course costs very less.

Difficulty

The students of this course have found this course difficult.

Content

The students of this course have liked the content of this course.

Assignments

The students of this course have not liked the assignments of this course.

Teaching

The students of this course have liked how the instructor has taught this course.

Satisfaction

The students of this course are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 100 on buying this course.

Why should you choose this course?

Description

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: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.

Syllabus

Background
One and two parameter regression
Linear regression
General least squares
Least squares examples
Bases and residuals

What others say about this course

Reviews from Coursera

This course is very interesting and Professor Caffo is very good at teaching. The proposed material is not very well organised and even if there are multiple sources available (videos, book, YT videos)  Read More ...

Lectures are monotonous. Not enough exercises.

I was expecting more practical examples in R.

The topics covered by this course were really relevant, and it allowed me to better understand many things I have been using blindly for years. That being said, the course preparation by the lecturer a  Read More ...

The teacher is like explaining to himself with no idea of who is in the other side. He knows the material but the course is just so boring and not becuse of the material itself but because of the way i  Read More ...

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