What is regression analysis?

Regression analysis is a mathematical process in statistics that allows you to discover trends in the data you're examining. Regression analysis allows you to determine the relationship between the outcome of a situation and the variables that affect that outcome. You can use regression analysis to sort out the dependent and independent variables that make a larger difference in the outcome and those that don't affect the outcome as much. It also allows you to make educated judgments on which factors to ignore and which factors matter most when it comes to planning and decision making.

Why learn about regression analysis?

It's important to learn about regression analysis because it will help you understand the relationship between outcomes and the factors that determine those outcomes. Regression analysis is a flexible form of analysis that has applications across different disciplines. You can use regression analysis to build a business plan, develop a nutrition and workout regimen, research sociological and psychological issues, or one of many other decisions that you may need to make. Regression analysis allows you to zero in on the variables that factor most into your discipline.

How does regression analysis help my career?

A firm understanding of regression analysis allows you to make better projections and decisions because you're able to see which factors affect an outcome more than others. Regression analysis allows you to understand how different scenarios play out because you know which variables make a difference in your line of work. Because regression analysis works across various disciplines that rely on data, such as finance and investing, you can apply it in a number of different careers, which means it's a concept that serves you well no matter where you work.

How can taking online courses help me learn regression analysis?

Online courses help you develop your knowledge of regression analysis and how to apply it in your career. You can use online courses to help you understand regression analysis if you've never applied it before or if you have a passing familiarity with it. You can learn the basic concepts with online courses, or you can take a more in-depth approach to what regression analysis can do for your business. One of the best things about taking online courses to learn about regression analysis is that you can learn at a pace and on a schedule that works best for you.

What are the benefits of taking an online Regression Analysis course?

Online Regression Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Regression Analysis skills. Choose from a wide range of Regression Analysis courses offered by top universities and industry leaders tailored to various skill levels.

What Regression Analysis courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Regression Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Regression Analysis Courses - Learn Regression Analysis Online

University of Minnesota

Introduction to Software Testing

Skills you'll gain: Computer Programming, Software Engineering, Software Testing, Problem Solving, Data Analysis Software, Java Programming, Programming Principles, System Software, Planning

Status: Free

Yale University

Financial Markets

Skills you'll gain: Finance, Risk Management, Banking, Behavioral Economics, Critical Thinking, Decision Making, Financial Analysis, Innovation, Underwriting

Google Cloud

Loading Data into Google Cloud SQL

Skills you'll gain: Cloud Computing, Data Analysis, SQL

Stanford University

Graph Search, Shortest Paths, and Data Structures

Skills you'll gain: Algorithms, Data Structures, Mathematics, Theoretical Computer Science, Computer Programming, Graph Theory, Problem Solving, Computational Thinking, Critical Thinking, Software Engineering

Johns Hopkins University

Introduction to the Tidyverse

Skills you'll gain: Data Analysis, R Programming, Database Design, Leadership and Management, Programming Principles, Database Theory, Databases, Data Visualization

University of Colorado Boulder

Introduction to Machine Learning: Supervised Learning

Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Python Programming, Probability & Statistics, Statistical Programming, Regression, Data Analysis, Applied Machine Learning, Statistical Analysis