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Understanding and Applying Linear Regression
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours 12M | 484 MB
Genre: eLearning | Language: English
Linear regression is a powerful tool, applicable in many common situations in business and data analysis. This course will cover both the theory and implementation of linear regression in Excel, Python, and R.
Linear regression is a key technique used in forecasting and in quantifying cause-effect relationships. In this course, , you will learn how to identify patterns in data and test those relationships for statistical soundness. You will also learn simple regression and multiple regression. Finally, you'll explore the use of categorical variables. When you're finished with this course, you will have a strong applied knowledge of regression in Excel, R, and Python that will help with factor analysis, logistic regression, and other powerful techniques.
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FILE LIST
Filename
Size
01 - Course Overview - Course Overview.mp4
4.4 MB
02 - Modeling Relationships Between Variables Using Regression - Connecting the Dots Using Linear Regression.mp4
9 MB
03 - Modeling Relationships Between Variables Using Regression - Reasons for Using Regression.mp4
10.9 MB
04 - Modeling Relationships Between Variables Using Regression - Versatility of Regression.mp4
3.4 MB
05 - Modeling Relationships Between Variables Using Regression - Regression as Machine Learning.mp4
7.7 MB
06 - Modeling Relationships Between Variables Using Regression - Mean and Variance.mp4
4.5 MB
07 - Modeling Relationships Between Variables Using Regression - Probability Distributions and the Bell Curve.mp4
9.3 MB
08 - Understanding Simple Regression Models - Setting up the Regression Problem.mp4
6.2 MB
09 - Understanding Simple Regression Models - The Best Fit Line.mp4
5.5 MB
10 - Understanding Simple Regression Models - A Quick Taste of Regression in Excel.mp4
