Building Statistical Models in R: Linear Regression

Coursera Project Network

New York, United StatesTaught in EnglishOnlineOpen to international students

Why students choose this program

Taught in English
No application fee
Study online, from anywhere

About Building Statistical Models in R: Linear Regression

Tuition is 49; applications are due Anytime.

Welcome to this project-based course Building Statistical Models in R: Linear Regression. This is a hands-on project that introduces beginners to the world of statistical modeling. In this project, you will learn the basics of building statistical models in R. We will start this hands-on project by exploring the dataset and creating visualizations for the dataset. By the end of this 2-hour long project, you will understand how to build and interpret the result of simple linear regression models in R. Also, you will learn how to perform model assessments and check for assumptions using diagnostic plots. By extension, you will learn how to build and interpret the result of a multiple linear regression model. Note that you do not need to be a data scientist to be successful in this guided project; just a familiarity with basic statistics and R suffice for this project. If you are not familiar with R and want to learn the basics, start with my previous guided project titled “Getting Started with R”. So, taking this project will give the needed requisite to complete this project on Building Statistical Models in R: Linear Regression. However, if you are comfortable using R, please join me on this wonderful and exciting ride! Let’s get our hands dirty!

About Coursera Project Network

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

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Tuition (international students): 49
Application Fee: 0 USD

Planning the visa? United States student visa: cost, requirements and processing time (from $535 all-in)

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All students from all countries are eligible to apply to this program.

Admissions Process

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Preparing documents

You can start your application now and send the application documents during your application. Some documents you can send later if you don’t have them right away. See document and eligibility requirements

Required documents

• Curriculum Vitae

• English Language Certificate

• Personal Statement

• Your Highest Academic Transcript (in English)

• Your Photograph

• Your Graduation Certificate (in English)

• Your Passport Copy

Application process

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• The first steps are to choose the programs, pay the application fee and upload the application documents.

• Once submitted to Global Admissions, we will review your application within 2-3 days and proceed to the university or ask you for further clarification

• After it has been processed to the university you will receive your unique application ID from each university.

• The university may contact you directly for further questions.

• We will then follow up each week with the university for updates. As soon as there is any update we will let you know. If you have made other plans, decide to withdraw / change address at any time please let us know.

• After you have been accepted you will receive your admissions letter electronically and asked to pay the non-refundable deposit to the university.

• Once you have paid the deposit the university will issue you the admissions letter and visa form to your home country.