Are there hands-on activities included?

Yes, the course includes structured exercises and real-world case studies such as profit prediction to help you apply regression techniques effectively.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

What is the refund policy?

You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Introduction to Linear Regression Training

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Introduction to Linear Regression Training

Instructor: Priyanka Mehta

Included with Coursera Plus

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand core machine learning concepts and linear regression fundamentals.
Differentiate and apply simple and multiple linear regression techniques.
Analyze real-world case studies like profit estimation for practical insights.
Build predictive models and extract actionable business insights with confidence.

Skills you'll gain

Details to know

Shareable certificate

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There are 2 modules in this course

This foundational course on linear regression equips you with the essential knowledge and hands-on skills to build predictive models. Begin with core ML concepts and algorithms, then progress to simple and multiple linear regression techniques. Learn how regression is applied in real-world scenarios, including a detailed profit estimation case study, to strengthen both theory and practice for data-driven decision-making.

No prior machine learning knowledge is required. By the end of this course, you will be able to: - Grasp ML Basics: Understand core machine learning concepts and algorithms - Master Regression: Differentiate between simple and multiple linear regression - Apply Techniques: Use regression models to solve real-world business problems - Interpret Insights: Analyze regression outcomes and extract actionable predictions - Build Confidence: Strengthen both theoretical knowledge and practical application Ideal for professionals seeking to develop strong foundations in machine learning and predictive analytics.

Master the foundations of linear regression in this beginner-friendly module. Start with an overview of machine learning and its core algorithms before diving into real-world applications of regression. Learn step-by-step concepts of simple and multiple linear regression, gain clarity through structured parts, and build the skills to apply regression models effectively in predictive analytics.

What's included

7 videos1 reading4 assignments1 plugin

7 videosTotal 15 minutes

Course Overview2 minutes
Introduction to Machine Learning1 minute
Machine Learning Algorithms1 minute
Applications of Linear Regression0 minutes
Understanding Linear Regression - Part 13 minutes
Understanding Linear Regression - Part 24 minutes
Multiple Linear Regression0 minutes

1 readingTotal 10 minutes

Course Syllabus10 minutes

4 assignmentsTotal 64 minutes

Quiz on Getting Started with Linear Regression6 minutes
Quiz on Core Concepts of Linear Regression12 minutes
Quiz on Understanding Regression12 minutes
Assessment for Foundations of Linear Regression34 minutes

1 pluginTotal 15 minutes

Foundations of Linear Regression: Concepts and Applications15 minutes

This module on applying linear regression helps you translate theory into practice with real-world business scenarios. Explore a detailed case study on profit estimation, broken into step-by-step parts to build hands-on experience in applying regression models. Conclude with key takeaways that reinforce concepts and equip you to leverage linear regression for accurate company profit predictions.

What's included

4 videos1 assignment1 plugin

4 videosTotal 19 minutes

Use Case - Profit Estimation of a company - Part 16 minutes
Use Case - Profit Estimation of a company - Part 26 minutes
Use Case - Profit Estimation of a company - Part 36 minutes
Key Takeaways0 minutes

1 assignmentTotal 6 minutes

Assessment for Applying Linear Regression6 minutes

1 pluginTotal 15 minutes

Applying Linear Regression: Profit Estimation Case Study15 minutes

Instructor

Priyanka Mehta

Simplilearn

62 Courses23,474 learners

Offered by

Simplilearn

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Frequently asked questions

This course is ideal for students, analysts, data professionals, and beginners who want to build strong foundations in machine learning, regression, and predictive analytics.

No prior experience is required. A basic understanding of mathematics, statistics, or algebra is recommended.

You’ll learn machine learning basics, simple and multiple linear regression, predictive analytics, and practical applications like profit estimation case studies.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.