Introduction to Linear Regression Training

Coursera MOOC / Non-credit USD 49
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Introduction to Linear Regression Training

About 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.

What you'll learn

  • understand core machine learning concepts and algorithms
  • differentiate between simple and multiple linear regression
  • apply regression models to solve real-world business problems
  • analyze regression outcomes and extract actionable predictions

Course objectives

  • build confidence in applying machine learning techniques to practical issues
  • strengthen understanding of regression in business contexts

Skills you'll gain

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