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 Pennsylvania
Fundamentals of Quantitative Modeling
Habilidades que obtendrás: Mathematics, Entrepreneurship, Design and Product, Leadership and Management, Strategy and Operations, Probability & Statistics, Marketing, Research and Design, Strategy, Probability Distribution, Product Marketing, Sales, Market Research, Product Management, Regression, General Statistics, Linear Regression, Linearity, Probability, Analysis, Regression Analysis, Modeling
4.6
(8.1k reseñas)
Mixed · Course · 1-4 Weeks
University of Virginia
Marketing Analytics
Habilidades que obtendrás: Entrepreneurship, Experiment, Leadership and Management, Probability & Statistics, Sales, General Statistics, Market Analysis, Strategy and Operations, Marketing, Regression, Strategy, Communication, Marketing Strategy, Analysis, Regression Analysis, Marketing Mix, Brand Management, Brand, Analytics, Architecture
4.7
(6.2k reseñas)
Beginner · Course · 1-3 Months
IBM Skills Network
Data Analysis with Python
Habilidades que obtendrás: Computer Programming Tools, Data Analysis, Correlation And Dependence, Data Mining, Mathematical Theory & Analysis, Machine Learning, Exploratory Data Analysis, Econometrics, Computer Programming, Regression, General Statistics, Python Programming, Probability & Statistics, Statistical Analysis, Spreadsheet Software, Statistical Machine Learning, Statistical Programming, Analysis, Linearity, Regression Analysis, Linear Regression, Algebra, Business Analysis
4.7
(15.5k reseñas)
Beginner · Course · 1-3 Months
Gratis
University of Amsterdam
Data Analytics for Lean Six Sigma
Habilidades que obtendrás: Minitab, Basic Descriptive Statistics, Experiment, Leadership and Management, Data Analysis, Entrepreneurship, Statistical Analysis, Probability & Statistics, Statistical Programming, Supply Chain and Logistics, Strategy and Operations, Planning, Probability Distribution, Operations Management, Organizational Development, Plot (Graphics), Statistical Tests, General Statistics, Statistical Visualization, Data Visualization, Regression, Business Psychology, Regression Analysis, Six Sigma, Lean Six Sigma, Analysis, Business Analysis, Trigonometric Integral
4.8
(2.8k reseñas)
Beginner · Course · 1-3 Months
Gratis

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En síntesis, estos son los 10 cursos más populares regression analysis

Simple Regression Analysis in Public Health: Johns Hopkins University
Modern Regression Analysis in R: University of Colorado Boulder
Multiple Regression Analysis in Public Health: Johns Hopkins University
Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
Regression Analysis with Yellowbrick: Coursera Project Network
Fundamentals of Quantitative Modeling: University of Pennsylvania
Customer Analytics: University of Pennsylvania
Marketing Analytics: University of Virginia
Data Analysis with Python: IBM Skills Network

Habilidades que puedes aprender en Probability And Statistics

Programación R (19)

Inferencia (16)

Regresión Lineal (12)

Análisis Estadístico (12)

Inferencia Estadística (11)

Bioestadística (9)

Bayesiana (7)

Regresión Logística (7)

Distribución De Probabilidad (7)

Estadística Bayesiana (6)

Estadísticas Médicas (6)

Preguntas frecuentes sobre Análisis de la regresión

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.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.