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⇱ Introduction to Linear Regression Training | Coursera

Introduction to Linear Regression Training

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Introduction to Linear Regression Training

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
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.

Details to know

Shareable certificate

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Assessments

5 assignments

Taught in English

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 assignments

7 videos•Total 16 minutes
  • Course Overview•2 minutes
  • Introduction to Machine Learning•2 minutes
  • Machine Learning Algorithms•2 minutes
  • Applications of Linear Regression•1 minute
  • Understanding Linear Regression - Part 1•4 minutes
  • Understanding Linear Regression - Part 2•5 minutes
  • Multiple Linear Regression•1 minute
1 reading•Total 10 minutes
  • Course Syllabus•10 minutes
4 assignments•Total 64 minutes
  • Assessment for Foundations of Linear Regression•34 minutes
  • Quiz on Getting Started with Linear Regression•6 minutes
  • Quiz on Core Concepts of Linear Regression•12 minutes
  • Quiz on Understanding Regression•12 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 assignment

4 videos•Total 20 minutes
  • Use Case - Profit Estimation of a company - Part 1•7 minutes
  • Use Case - Profit Estimation of a company - Part 2•6 minutes
  • Use Case - Profit Estimation of a company - Part 3•6 minutes
  • Key Takeaways•1 minute
1 assignment•Total 6 minutes
  • Assessment for Applying Linear Regression•6 minutes

Instructor

Simplilearn
87 Courses•77,755 learners

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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.

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

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.

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.

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.

Financial aid available,