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 260개의 결과

IBM
Supervised Machine Learning: Classification
획득할 기술: Machine Learning Algorithms, Supervision, Computer Vision, Supply Chain and Logistics, Algorithms, Data Structures, General Statistics, Applied Machine Learning, Regression, Data Management, Probability & Statistics, Theoretical Computer Science, Boosting (Machine Learning), Machine Learning
4.9
(147개의 검토)
Intermediate · Course · 1-3 Months
University of Illinois at Urbana-Champaign
Introduction to Accounting Data Analytics and Visualization
획득할 기술: Spreadsheet Software, Data Analysis, General Statistics, Data Visualization, Management Accounting, Business Analysis, Microsoft Excel, Regression, Data Visualization Software, Data Analysis Software, Accounting, Analysis, Probability & Statistics, Taxes, Audit, Theoretical Computer Science
4.8
(375개의 검토)
Beginner · Course · 1-3 Months
무료
University of Geneva
Particle Physics: an Introduction
획득할 기술: Physics, Mathematics, Problem Solving, Human Resources, Critical Thinking, Culture, Strategy and Operations, Business Psychology, Regression, Entrepreneurship, Leadership and Management, Business Analysis, Applied Mathematics, General Statistics, Human Learning, Research and Design, Training, Machine Learning, Markov Model, Probability & Statistics
4.4
(805개의 검토)
Mixed · Course · 1-3 Months
University of California, Santa Cruz
Bayesian Statistics: Techniques and Models
획득할 기술: Statistical Programming, Mathematics, General Statistics, Modeling, Econometrics, Regression, Bayesian, Markov Model, Probability Distribution, Graph Theory, Probability & Statistics, Statistical Machine Learning, Machine Learning, Bayesian Statistics
4.8
(438개의 검토)
Intermediate · Course · 1-3 Months
University of Washington
Data Science at Scale
획득할 기술: Algebra, Apache, Big Data, Cloud Computing, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Mathematics, Probability & Statistics, Problem Solving, Python Programming, R Programming, Regression, Statistical Programming, Theoretical Computer Science, Visualization (Computer Graphics)
4.2
(898개의 검토)
Intermediate · Specialization · 3+ Months
IBM
Advanced Machine Learning and Signal Processing
획득할 기술: Regression, Computer Graphic Techniques, Mathematics, Econometrics, Data Structures, Signal Processing, Strategy and Operations, Change Management, Experiment, General Statistics, Machine Learning Algorithms, Algorithms, Leadership and Management, Machine Learning, Bayesian Statistics, Data Management, Theoretical Computer Science, Probability & Statistics, Estimation, Computer Graphics, Statistical Machine Learning, Dimensionality Reduction
4.5
(1.2k개의 검토)
Advanced · Course · 1-4 Weeks

regression analysis과(와) 관련된 검색

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

Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
Supervised Machine Learning: Classification: IBM
Introduction to Accounting Data Analytics and Visualization: University of Illinois at Urbana-Champaign
Particle Physics: an Introduction: University of Geneva
Applying Data Analytics in Finance: University of Illinois at Urbana-Champaign
Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
Data Science at Scale: University of Washington
Using Machine Learning in Trading and Finance: New York Institute of Finance
Social Media Data Analytics: University of Washington
Fitting Statistical Models to Data with Python: University of Michigan

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.‎