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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Course Overview

    Linear Regression and Modeling certification is a 4 weeks course that only takes 10 hours in total from a candidate. This course is a collaborative effort between Duke University, and Coursera. The main aim that both these platforms have is to introduce both linear regression models- simple and multiple regression. With these models, one can judge a relationship between the different variable data points in a data set.

    Linear Regression and Modeling training will help with the basics of linear regression that is used with data examples for learning, examining, and ultimately utilizing these, to sum up, the relationship between variables that are multiple. An example of such a case is that the training will let the students find out the relationships between how attractive a professor is, and on what parameters does he or she evaluate students. This relationship is usually examined by using statistical software like R, and RStudio which is free of cost.

    The Highlights

    • 4 weeks programme
    • 100% online course
    • 10 hours of classes
    • Learning by self
    • Beginner course level
    • 10 subtitles available
    • Certificate by Coursera

    Program Offerings

    • Online Course
    • Shareable Certificate
    • Flexible Deadlines
    • Graded Assignments
    • English Course
    • 10 Subtitles Available
    • Lectures
    • videos
    • Readings
    • Practice Exercises

    Courses and Certificate fees

    Certificate AvailabilityCertificate Providing Authority
    yesCoursera

    Linear Regression and Modeling Fee Structure

    Course name

    Fee in INR

    Audit mode Free

    Linear Regression and Modeling (1 month)

    Rs. 4,015

    Linear Regression and Modeling (3 months)
    Rs. 8,031
    Linear Regression and Modeling (6 months)
    Rs. 12,046

    Benefits

    The Linear Regression and Modeling certification benefits are quite a few which are as follows:

    • There are so many subtitles available in the course so candidates need not worry about not knowing English.
    • Getting a shareable certificate at the course end will help the students to either print it or keep the soft copy, and pass it on to professional sites where hirers are attracted.
    • Whatever the candidate learns is world-class content as it is delivered by a very renowned Duke University.
    • This course offers benefits to the participants like flexible deadlines which means that they may shuffle their study schedules based on their interests.

    Eligibility Criteria

    Educational Qualification

    Certification Qualifying Details

    • For the Linear Regression and Modeling certification by Coursera, participants will always have to complete everything that is stated in the curriculum on the website.

    What you will learn

    Statistical skillsR Programming

    With this Linear Regression and Modeling certification syllabus, the candidates will be learning the very basic, and fundamental concepts with examples regarding linear regression, statistics, and R programming.


    Admission Details

    The Linear Regression and Modeling admission process is as follows:

    Step 1: Visit the official website: https://www.coursera.org/learn/linear-regression-model.

    Step 2: Then, find the ‘Join for free’ button on the course website and click it.

    Step 3: Then on the webpage, give proper details like valid email id, and names, to set up their account on Coursera.

    Step 4: As soon as an account gets made, candidates can log in to pay the fee, and seek admission.

    Filling the form

    The regular application form is not required on Coursera. The only information that students need to provide is their personal details like email and name to get done with a new Coursera account.

    The Linear Regression and Modeling admission process is as follows:

    Step 1: Visit the official website: https://www.coursera.org/learn/linear-regression-model.

    Step 2: Then, find the ‘Join for free’ button on the course website and click it.

    Step 3: Then on the webpage, give proper details like valid email id, and names, to set up their account on Coursera.

    Step 4: As soon as an account gets made, candidates can log in to pay the fee, and seek admission.

    The Syllabus

    Videos
    • Introduction to Statistics with R

    Readings
    • About Statistics with R Specialization
    • More about Linear Regression and Modeling

    Videos
    • Introduction
    • Correlation
    • Residuals
    • Least Squares Line
    • Prediction and Extrapolation
    • Conditions for Linear Regression
    • R Squared
    • Regression with Categorical Explanatory Variables

    Readings
    • Lesson Learning Objectives
    • Lesson Learning Objectives
    • Week 1 Suggested Readings and Practice

    Practice Exercises
    • Week 1 Practice Quiz
    • Week 1 Quiz

    Videos
    • Outliers in Regression
    • Inference for Linear Regression
    • Variability Partitioning

    Readings
    • Lesson Learning Objectives
    • Week 2 Suggested Readings and Exercises
    • About Lab Choices
    • Week 1 & 2 Lab Instructions (RStudio)
    • Week 1 & 2 Lab Instructions (RStudio Cloud)

    Practice Exercises
    • Week 2 Practice Quiz
    • Week 2 Quiz
    • Week 1 & 2 Lab

    Videos
    • Introduction
    • Multiple Predictors
    • Adjusted R Squared
    • Collinearity and Parsimony
    • Inference for MLR
    • Model Selection
    • Diagnostics for MLR

    Readings
    • Lesson Learning Objectives
    • Lesson Learning Objectives
    • Week 3 Suggested Readings and Exercises
    • Week 3 Lab Instructions (RStudio)
    • Week 3 Lab Instructions (RStudio Cloud)
    • Project Instructions, Data files, and Checklist 2h

    Practice Exercise
    • Week 3 Practice Quiz
    • Week 3 Quiz
    • Week 3 Lab

    Instructors

    Duke University, Durham Frequently Asked Questions (FAQ's)

    1: Are course lectures accessible as soon as the login happens?

    The exact timing of course accessibility is decided based on what mode of a programme from audit, to free trial, the candidates are selecting. 

    2: How will the students know they have changed their mail address for the Linear Regression and Modeling programme?

    As soon as the candidates use their settings to change their old mailing address, they shall be notified by an email from Coursera.

    3: Will participants receive certificates for a single course of a specialization programme?

    Yes, Coursera does provide one certificate for single courses belonging to a specialization.

    4: Can participants choose to cancel the course before they make the next due payment for the Linear Regression and Modeling certificate course?

    Yes obviously, cancellation of the course is acceptable before the due date of the next payment.

    5: How do students know that their payments have been successfully received by Coursera?

    After Coursera receives the payment, they send a mail with all the details to the students confirming the receipt.

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