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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Regression Analysis

필터링 기준

"regression analysis"에 대한 467개의 결과

University of Virginia
Marketing Analytics
획득할 기술: Marketing, Business Analysis, Market Analysis, Brand Management, Communication, Customer Analysis, Market Research, Marketing Management, Research and Design, Benefits, Change Management, Compensation, Conflict Management, Correlation And Dependence, Customer Relationship Management, Digital Marketing, FinTech, Finance, Financial Management, HR Tech, Human Resources Operations, Investment Management, Leadership Development, Marketing Design, Mergers & Acquisitions, Payments, Probability & Statistics, Professional Development, Recruitment, Regression, Regulations and Compliance, Risk Management, Securities Sales, Securities Trading, Statistical Analysis, Talent Management, Underwriting, Entrepreneurship, Experiment, General Statistics, Leadership and Management, Sales, Strategy, Strategy and Operations
4.7
(6.2k개의 검토)
Beginner · Course · 1-3 Months
University of Colorado Boulder
Statistical Modeling for Data Science Applications
획득할 기술: Probability & Statistics, Regression, General Statistics, Mathematics, Business Analysis, Data Analysis, Statistical Analysis, Statistical Tests, Econometrics, Experiment, Machine Learning, Machine Learning Algorithms, Calculus, Communication, Linear Algebra, Marketing, R Programming, SQL
4.0
(28개의 검토)
Intermediate · Specialization · 3-6 Months
University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
획득할 기술: Data Analysis, Probability & Statistics, Business Analysis, Statistical Analysis, General Statistics, Computer Programming, Data Visualization, Plot (Graphics), Python Programming, Regression, Statistical Programming, Correlation And Dependence, Econometrics
4.4
(126개의 검토)
Mixed · Course · 1-3 Months
IBM Skills Network
Statistics for Data Science with Python
획득할 기술: General Statistics, Probability & Statistics, Data Analysis, Business Analysis, Statistical Analysis, Statistical Tests, Probability Distribution, Basic Descriptive Statistics, Correlation And Dependence, Data Visualization, Plot (Graphics), Regression, Statistical Visualization
4.6
(280개의 검토)
Mixed · Course · 1-3 Months

regression analysis과(와) 관련된 검색

regression analysis with yellowbrick

modern regression analysis in r

multiple regression analysis in public health

simple regression analysis in public health

data modeling and regression analysis in business

predictive modeling, model fitting, and regression analysis

building and analyzing linear regression model in r

요약하자면, 여기에 가장 인기 있는 regression analysis 강좌 10개가 있습니다.

Modern Regression Analysis in R: University of Colorado Boulder
Simple Regression Analysis in Public Health: Johns Hopkins University
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
Marketing Analytics: University of Virginia
Statistical Modeling for Data Science Applications: University of Colorado Boulder
Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
Statistics for Data Science with Python: IBM Skills Network

Probability And Statistics에서 학습할 수 있는 스킬

회귀 분석에 대한 자주 묻는 질문

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.‎