Save for later

Advanced Linear Models for Data Science 1

Least Squares

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.
Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

Coursera

&

Johns Hopkins University

Rating 4.1 based on 24 ratings
Length 7 weeks
Effort 6 weeks of study, 1-2 hours/week
Starts Jul 6 (7 days ago)
Cost $29
From Johns Hopkins University via Coursera
Instructor Brian Caffo, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

Get a Reminder

Get an email reminder about this course

Send to:

Similar Courses

What people are saying

According to other learners, here's what you need to know

linear algebra in 5 reviews

Everything was explained clearly through linear algebra topic.

Nevertheless the material seems to be taken here and there from other courses/specialisations so you often have the feeling that you are missing something that may have been said in a previous lesson that does not belong to this course (and I am not talking about basic linear algebra stuff) or you wonder "what are we trying to prove?

Linear algebra should be your second language as it is assumed to be mastered.

I enjoyed the math and it helped me to review my linear algebra and got new intuitions on linear regression.

Read more

good course in 4 reviews

Overall it's a good course, very interesting topic, made harder by material that is a bit collected here and there and put together without the care the subject would require.

Good course.

Hoping to learn BLUE, GAMs in part 2. good course!

Read more

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Basic Paraprofessional $40k

Coordinator, Basic Writing $45k

Zumba Basic 1 $47k

Basic Training $50k

Class A CDL $53k

Class Producer $60k

EMT-Basic 1 $63k

Non-Linear Video Technician $64k

Non-linear Editing Specialist $68k

Senior Planning Analyst-Linear Solutions $79k

Linear Maintenance Technician $83k

Visual Basic Architect $84k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

Johns Hopkins University

Rating 4.1 based on 24 ratings
Length 7 weeks
Effort 6 weeks of study, 1-2 hours/week
Starts Jul 6 (7 days ago)
Cost $29
From Johns Hopkins University via Coursera
Instructor Brian Caffo, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now