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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Advanced Linear Models for Data Science 1: Least Squares course helps you develop a strong foundation of linear and regression modelling. Johns Hopkins University offers the programme, and your instructors will be subject-matter experts. It is the third part of the Advanced Statistics Specialisation by Coursera.

Moreover, the course completion certificate that you will receive is shareable, after finishing the Advanced Linear Models for Data Science 1: Least Squares programme by Coursera. It will allow you to establish your relevant expertise in the field. Learn and develop fluency in the basics related to least squares and regression modelling, at your own pace.

In addition, the Advanced Linear Models for Data Science 1: Least Squares course features immersive content, developed around a self-paced model to align perfectly with your schedule. The training also provides adjustable deadlines. Furthermore, the online course allows you to quickly and efficiently start studying. You have to devote nearly 8 hours of learning time to the programme.

The Highlights

Self-paced learning model
Part of Advanced Statistics for Data Science Specialisation
Advanced difficulty level
Seven-day free trial
Six weeks course
Free enrolment
A Johns Hopkins University offering
A shareable course completion certificate
The medium of teaching: English
Online training
Flexible deadlines

Programme Offerings

self directed training
Flexible learning
advanced level course
A shareable course completion certificate
practice quizzes
Online Course
A Johns Hopkins University Offering
graded assignment
peer feedback

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

You need to pay the fee to earn a certification for the Advanced Linear Models for Data Science 1: Least Squares course. Without any delay, you can begin with the free course trial of seven-days. Then upgrade by buying the programme every month. The option of financial assistance is also available.

Coursera’s Advanced Linear Models for Data Science 1: Least Squares Course Fee Structure

Course	Fees in INR
1 Month	Rs. 3,184 (plus GST)
3 Months	Rs. 6,369 (plus GST)
6 Months	Rs. 9,554 (plus GST)

Eligibility Criteria

To enroll in the Coursera Advanced Linear Models for Data Science 1: Least Squares course, the candidate should have a basic understanding of Linear Algebra fundamentals, Calculus, Statistics, Regression model, and R programming.

Certification

Moreover, to obtain a Coursera certificate for the Advanced Linear Models for Data Science 1: Least Squares programme, you have to verify name and ID. For the certificate, you need to meet the minimum passing requirements and complete all the assignments in the curriculum. Besides, you can buy the course or request financial assistance. The deadline to get certification is 180 days, and if you fail to do so, you will need to pay again to earn the certificate.

What you will learn

R ProgrammingKnowledge of Applied statistics

After completing the Advanced Linear Models for Data Science 1: Least Squares course, you will be able to:

Understand the mathematical concepts associated with the least-squares such as vector derivatives.
Learn to investigate linear relationships (unconfounded) with the help of linear regression.
Be familiar with the first, second, and third derivative of least squares.
Develop an understanding of the analysis of covariance or ANCOVA.
Acquire knowledge of the different design fits and matrices.
Learn signal expansion from the decomposition of a signal.

Who it is for

Data ScientistComputer ProgrammerAnalytics manager

Admission Details

To get enrolled in the Advanced Linear Models for Data Science 1: Least Squares course by Coursera:

Visit the course page.
Next, browse the website for the “Advanced Linear Models for Data Science 1: Least Squares” course, you will be taken to the course web page. Look for the “Enroll for Free” tab.
You can enroll for free and avail of the seven-day free trial to get access to the course material. But to earn a certificate, you need to purchase the course.
Click on “Continue” to confirm your enrolment. Post the seven days, you can proceed with buying the course upgrade.
If you want to purchase the course, go to “My Courses” and select “Upgrade to earn a Course Certificate.” Also, if you cannot afford to buy it, you can apply for financial aid.
Pay the fee and please save the transaction receipt.

Application Details

To enrol in the Advanced Linear Models for Data Science 1: Least Squares programme by Coursera, sign up on the website of Coursera with your Facebook/Google/Coursera account. You will get access to the free audit option to view the programme material and the seven-day free trial. Course enrolment is for free, and then you can upgrade to get a course certificate.

The Syllabus

Videos

Introduction
Centering by matrix multiplication
Matrix derivatives
Variance via matrix multiplication
Coding example

Readings

Welcome to the class
Course textbook
Grading
In this module

Practice Exercise

Background Quiz

Videos

Regression through the origin
Centering first
Coding example
Connection with linear regression
Coding example
Fitted values and residuals

Readings

Before you begin

Practice Exercise

One Parameter Regression Quiz

Videos

Least squares
Coding example
Prediction
Coding example
Residuals
Coding example
Generalizations
Generalizations example

Readings

Before you begin
Generalizations

Practice Exercise

Linear Regression Quiz

Videos

Least squares
Coding example
Second derivation of least squares
Projections
Third derivation of least squares
Coding example

Readings

Before you begin

Practice Exercise

General Least Squares Quiz

Videos

Basic examples of design matrices and fits
Group effects
Change of parameterization
ANCOVA

Practice Exercise

Least Squares Examples Quiz

Videos

Bases, introduction
Bases 2, Fourier
Bases 3, SVDs
Bases, coding example
Introduction to residuals
Partitioning variability

Practice Exercise

Bases Quiz
Residuals Quiz

Instructors

Johns Hopkins Frequently Asked Questions (FAQ's)

1: What is the duration of the Advanced Linear Models for Data Science 1: Least Squares course?

This Coursera programme has a self-paced training model with a duration of six weeks.

2: Are any university credits associated with the course?

For the Advanced Linear Models for Data Science 1: Least Squares, no university credits are awarded. However, certain universities may trade credits for Course Certificates.

3: Does Coursera offer financial assistance?

Coursera provides financial aid to candidates who are unable to afford the course fee. To apply for financial assistance, you need to write an application and submit it on the website of Coursera.

4: What is the eligibility criterion for this course?

For the Advanced Linear Models for Data Science 1: Least Squares course, you should be familiar with the fundamentals of statistics, linear algebra, calculus, and R programming.

5: Why should I take this course?

Coursera’s Advanced Linear Models for Data Science 1: Least Squares course is best-suited to provide aspiring data scientists and biostatistics professionals with a solid foundation of relevant modeling tools. To know more, visit the Coursera website.