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This 'Linear & Logistic Regression' online training course will teach you how to build robust linear models and do logistic regressions in Excel, R, and Python that will stand up to scrutiny when you apply them to real world situations.
You'll learn about topics such as: understanding random variables, cause-effect relationships, maximum likelihood estimation, and so much more. Follow along with the experts as they break down these concepts in easy-to-understand lessons.
Course Highlights
Simple Regression :
Multiple Regression :
Logistic Regression :
Course Requirements
Target Audience
Length: 5 hrs
Chapter 01: Introduction
Chapter 02: Connect the Dots with Linear Regression
Chapter 03: Basic Statistics Used for Regression
Chapter 04: Simple Regression
Chapter 05: Applying Simple Regression
Chapter 06: Multiple Regression
Chapter 07: Applying Multiple Regression using Excel
Chapter 08: Logistic Regression for Categorical Dependent Variables
Chapter 09: Solving Logistic Regression
Chapter 10: Applying Logistic Regression
Length of Subscription: 12 Months Online On-Demand Access Running Time: 5 hrs Platform: Windows & MAC OS Level: Beginner to Advanced Project Files: Included
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