What is linear regression?

Linear regression is a type of statistical data analysis that examines which variables help significantly predict the outcome of a situation. You can use linear regression to determine the relationships between one dependent variable and one or more independent variables to sort out which variables will contribute most to the outcome you seek to achieve. Linear regression also helps you forecast the impact that changes to variables will make in different scenarios. It's a tool you can use to help predict outcomes and make adjustments to help achieve the outcome you're looking for.

Why is it important to learn about linear regression?

If you're in a career that relies on data analysis, linear regression is a tool that can help you determine the relationship between variables that affect scenarios that you need to predict or plan for. You can use linear regression to anticipate how the factors that affect a situation now will make a difference in the future. For example, you can use linear regression to predict the cost of a project or the amount of time it will take to complete the project based on different variables. Linear regression can help you make more informed and educated decisions to better navigate the present and plan for the future.

What career opportunities can arise from learning linear regression?

Data analysts use linear regression in different areas of business to determine which variables affect outcomes the most. You can apply linear regression as a data scientist or analyst with a single company or in a consultant role across multiple businesses. You can even set up your own business as a consultant to be in control of your own schedule and career trajectory. Analysts use linear regression in polling and surveys as well as in policy research fields, and various corporations use data analysis to help plan for the future. You can also apply your knowledge of linear regression in higher education and as a professor or research assistant.

How can taking online courses help me learn linear regression?

You can use online courses to learn linear regression in order to deepen your knowledge and skills in your current job or to find a new career. Whether you're already familiar with linear regression or whether you're brand new to the concept, online courses can give you the knowledge you need to apply linear regression in your workplace. Online courses not only teach you the concepts, but they also provide you with real-life applications of what you're learning. One of the biggest benefits of online learning is that you can sharpen your skills in a way that fits your schedule and lifestyle. You can walk away from your online learning confident in what you've discovered about linear regression and prepared to apply it to your career.

Обзор
Linear Regression

Фильтр

Результатов для запроса ''linear regression': 224

Johns Hopkins University
Advanced Statistics for Data Science
Получаемые навыки: Algebra, Artificial Neural Networks, Bayesian Statistics, Biostatistics, Calculus, Communication, Dimensionality Reduction, Econometrics, Experiment, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Machine Learning, Statistical Tests
4.4
(рецензий: 670)
Advanced · Specialization · 3-6 Months
Imperial College London
Linear Regression in R for Public Health
Получаемые навыки: Statistical Tests, Data Analysis, Mathematics, Econometrics, Correlation And Dependence, Regression, Statistical Analysis, General Statistics, Probability & Statistics, Analysis, Business Analysis, Regression Analysis, Modeling, Linearity, Linear Regression
4.8
(рецензий: 431)
Intermediate · Course · 1-4 Weeks
University of Washington
Machine Learning: Regression
Получаемые навыки: Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Machine Learning, Regression, Python Programming, Theoretical Computer Science, Probability & Statistics, Statistical Programming, General Statistics, Algorithms, Linear Regression, Regression Analysis, Linearity, Computer Programming, Analysis
4.8
(рецензий: 5.5k)
Mixed · Course · 1-3 Months
University of Pennsylvania
Fundamentals of Quantitative Modeling
Получаемые навыки: 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
(рецензий: 8.1k)
Mixed · Course · 1-4 Weeks
Бесплатно
Coursera Project Network
University Admission Prediction Using Multiple Linear Regression
Получаемые навыки: Tensorflow, Financial Analysis, Econometrics, Data Management, Communication, Machine Learning, Forecasting, Training, Marketing, Probability & Statistics, Linearity, Accounting, Analysis, Advertising, Business Psychology
4.6
(рецензий: 177)
Intermediate · Guided Project · Less Than 2 Hours

Результаты поиска, связанного с linear regression

linear regression with numpy and python

linear regression with python

linear regression for business statistics

linear regression in r for public health

linear regression and modeling

linear regression and multiple linear regression in julia

multiple linear regression with scikit-learn

simple linear regression for the absolute beginner

10 самых популярных курсов по запросу linear regression

Linear Regression and Modeling: Duke University
Linear Regression with Python: Coursera Project Network
Building Statistical Models in R: Linear Regression: Coursera Project Network
Advanced Statistics for Data Science: Johns Hopkins University
Regression Models: Johns Hopkins University
Linear Regression in R for Public Health: Imperial College London
Machine Learning: Regression: University of Washington
Linear Regression with NumPy and Python: Coursera Project Network
Fundamentals of Quantitative Modeling: University of Pennsylvania
Econometrics: Methods and Applications: Erasmus University Rotterdam

Навыки, которые вы можете получить здесь: Probability And Statistics

Программирование На Языке R (19)

Заключение (16)

Статистический Анализ (12)

Статистический Вывод (11)

Регрессионный Анализ (10)

Биостатистика (9)

Байесовский (7)

Логистическая Регрессия (7)

Распределение Вероятностей (7)

Байесовская Статистика (6)

Медицинская Статистика (6)

Часто задаваемые вопросы на тему Linear Regression

Linear regression is a type of statistical data analysis that examines which variables help significantly predict the outcome of a situation. You can use linear regression to determine the relationships between one dependent variable and one or more independent variables to sort out which variables will contribute most to the outcome you seek to achieve. Linear regression also helps you forecast the impact that changes to variables will make in different scenarios. It's a tool you can use to help predict outcomes and make adjustments to help achieve the outcome you're looking for.‎
If you're in a career that relies on data analysis, linear regression is a tool that can help you determine the relationship between variables that affect scenarios that you need to predict or plan for. You can use linear regression to anticipate how the factors that affect a situation now will make a difference in the future. For example, you can use linear regression to predict the cost of a project or the amount of time it will take to complete the project based on different variables. Linear regression can help you make more informed and educated decisions to better navigate the present and plan for the future.‎
Data analysts use linear regression in different areas of business to determine which variables affect outcomes the most. You can apply linear regression as a data scientist or analyst with a single company or in a consultant role across multiple businesses. You can even set up your own business as a consultant to be in control of your own schedule and career trajectory. Analysts use linear regression in polling and surveys as well as in policy research fields, and various corporations use data analysis to help plan for the future. You can also apply your knowledge of linear regression in higher education and as a professor or research assistant.‎
You can use online courses to learn linear regression in order to deepen your knowledge and skills in your current job or to find a new career. Whether you're already familiar with linear regression or whether you're brand new to the concept, online courses can give you the knowledge you need to apply linear regression in your workplace. Online courses not only teach you the concepts, but they also provide you with real-life applications of what you're learning. One of the biggest benefits of online learning is that you can sharpen your skills in a way that fits your schedule and lifestyle. You can walk away from your online learning confident in what you've discovered about linear regression and prepared to apply it to your career.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.