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Data Science for Everyone 9-4 Multiple Regression Analysis
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#multipleregression #hypothesistesting #regression #datascience
#statistics #datascienceforbeginners
In many real cases, a dependent variable depends on multiple factors. So, regression models should contain two or more independent variables. Regression analyses that contain two or more independent variables are called multiple regression analyses.
This course is targeted for managers who are not data scientist but need to manage data analytic projects. This is also targeted for managers who want to introduce data-driven management. So, the knowledge provided in this course is both theoretical and pragmatic, but not includes details of mathematics and coding. However, anyone who are beginners in data science are also welcome because this course can provide you with essentials for learning technical aspects of data science.
Takuma Kimura, Ph.D.
Scientist of Organizational Behavior and Business Analytics
#statistics #datascienceforbeginners
In many real cases, a dependent variable depends on multiple factors. So, regression models should contain two or more independent variables. Regression analyses that contain two or more independent variables are called multiple regression analyses.
This course is targeted for managers who are not data scientist but need to manage data analytic projects. This is also targeted for managers who want to introduce data-driven management. So, the knowledge provided in this course is both theoretical and pragmatic, but not includes details of mathematics and coding. However, anyone who are beginners in data science are also welcome because this course can provide you with essentials for learning technical aspects of data science.
Takuma Kimura, Ph.D.
Scientist of Organizational Behavior and Business Analytics