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.

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University of Illinois at Urbana-Champaign
Investments I: Fundamentals of Performance Evaluation
Kompetenzen, die Sie erwerben: Accounting, Business Analysis, Data Analysis, Finance, Financial Analysis, Investment Management, Financial Accounting, General Statistics, Probability & Statistics, Basic Descriptive Statistics, Data Analysis Software, Leadership and Management, Statistical Analysis
4.7
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Mixed · Course · 1-3 Months
Wesleyan University
Regression Modeling in Practice
Kompetenzen, die Sie erwerben: Advertising, Algebra, Business Analysis, Communication, Computer Programming, Data Analysis, Econometrics, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Programming
4.4
(273 Bewertungen)
Mixed · Course · 1-4 Weeks
University of Pennsylvania
Finance & Quantitative Modeling for Analysts
Kompetenzen, die Sie erwerben: Accounting, Business Analysis, Financial Accounting, Data Analysis, Finance, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing
4.5
(15.2k Bewertungen)
Beginner · Specialization · 3-6 Months
University of Pennsylvania
Business and Financial Modeling
Kompetenzen, die Sie erwerben: Business Analysis, Data Analysis, Probability & Statistics, Accounting, General Statistics, Leadership and Management, Spreadsheet Software, Finance, Financial Accounting, Decision Making, Financial Analysis, Probability Distribution, Statistical Analysis, Investment Management, Entrepreneurship, Basic Descriptive Statistics, Data Model, Forecasting, General Accounting, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Regression, Sales, Supply Chain and Logistics, Taxes, Risk Management, Business Research, Correlation And Dependence, Data Visualization, Financial Management, Management Accounting, Research and Design, Statistical Visualization, Corporate Accouting, Performance Management, Accounts Payable and Receivable, Cash Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Problem Solving, Product Management, Product Marketing
4.5
(10.2k Bewertungen)
Beginner · Specialization · 3-6 Months
IBM Skills Network
IBM Machine Learning
Kompetenzen, die Sie erwerben: Machine Learning, Probability & Statistics, General Statistics, Forecasting, Machine Learning Algorithms, Regression, Deep Learning, Data Analysis, Theoretical Computer Science, Artificial Neural Networks, Statistical Machine Learning, Algorithms, Business Analysis, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Computer Vision, Applied Machine Learning, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Natural Language Processing, Python Programming, Reinforcement Learning, Statistical Programming, Statistical Visualization, Algebra, Application Development, Basic Descriptive Statistics, Correlation And Dependence, Data Analysis Software, Estimation, SQL, Software Engineering, Statistical Analysis, Statistical Tests
4.6
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Intermediate · Professional Certificate · 3-6 Months

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Zusammenfassend sind hier 10 unserer beliebtesten regression analysis Kurse

The Classical Linear Regression Model: Queen Mary University of London
Logistic Regression in R for Public Health: Imperial College London
Investments I: Fundamentals of Performance Evaluation: University of Illinois at Urbana-Champaign
Performing Confirmatory Data Analysis in R: Coursera Project Network
Linear Regression for Business Statistics: Rice University
Investments II: Lessons and Applications for Investors: University of Illinois at Urbana-Champaign
Regression Modeling in Practice: Wesleyan University
Quantifying Relationships with Regression Models: Johns Hopkins University
Social Determinants of Health: Planetary Health: University of Minnesota
Finance & Quantitative Modeling for Analysts: University of Pennsylvania

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Häufig gestellte Fragen zum Thema Regressionsanalyse

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.‎
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.‎
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.‎
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.‎

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