Learn logistic regression modeling in 1 week
Learn logistic regression modeling in 1 week, available at $39.99, has an average rating of 3.1, with 26 lectures, based on 5 reviews, and has 67 subscribers.
You will learn about Learn how to develop a logistic regression model from the beginning to the end Learn how to interpret modeling results Learn how to present modeling results to others This course is ideal for individuals who are Working professionals who want to learn predictive modeling skills or Graduates or undergraduates who want to explore their career opportunities in advanced analytics It is particularly useful for Working professionals who want to learn predictive modeling skills or Graduates or undergraduates who want to explore their career opportunities in advanced analytics.
Enroll now: Learn logistic regression modeling in 1 week
Summary
Title: Learn logistic regression modeling in 1 week
Price: $39.99
Average Rating: 3.1
Number of Lectures: 26
Number of Published Lectures: 26
Number of Curriculum Items: 26
Number of Published Curriculum Objects: 26
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to develop a logistic regression model from the beginning to the end
- Learn how to interpret modeling results
- Learn how to present modeling results to others
Who Should Attend
- Working professionals who want to learn predictive modeling skills
- Graduates or undergraduates who want to explore their career opportunities in advanced analytics
Target Audiences
- Working professionals who want to learn predictive modeling skills
- Graduates or undergraduates who want to explore their career opportunities in advanced analytics
This is a hands-on training class for those of you who want to learn or improve predictive modeling skills. We will focus on developing and validating a logistic regression model in this class.
We will walk you through our 6-step modeling process step-by-step. Together, we will solve a real-world modeling project with real-world data. We will provide extensive demo on SAS code development, running SAS codes, and explaining SAS outputs. We will also provide you all the SAS codes used in this course.
At the end of the class, you should be able to develop a logistic regression model independently.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Objectives, Outline, and Prerequsites
Chapter 2: Overview
Lecture 1: Logistic Regression Modeling and its Applications
Chapter 3: Project
Lecture 1: Project Overview
Lecture 2: Project Overview – Part 2
Chapter 4: Data
Lecture 1: Modeling Data Overview
Chapter 5: Methodology
Lecture 1: Logistic Regression Modeling Methodology Overview
Chapter 6: Modeling
Lecture 1: Modeling Process Overview
Lecture 2: Modeling Step 1A – Data Loading
Lecture 3: Modeling Step 1B – Variable Labeling
Lecture 4: Modeling Step 1C – Data QC
Lecture 5: Modeling Step 1C – Data QC – Part 2
Lecture 6: Modeling Step 1D – Data Transformation
Lecture 7: Modeling Step 1D – Data Transformation – Part 2
Lecture 8: Modeling Step 2 – Select Variables
Lecture 9: Modeling Step 3 – Deep Dive Analysis
Lecture 10: Modeling Step 3 – Deep Dive Analysis – Part 2
Lecture 11: Modeling Step 4 – Transform Variables
Lecture 12: Modeling Step 4 – Transform Variables – Part 2
Lecture 13: Modeling Step 4 – Transform Variables – Part 3
Lecture 14: Modeling Step 5 – Develop Model
Lecture 15: Modeling Step 5 – Develop Model – Part 2
Lecture 16: Modeling Step 5 – Develop Model – Part 3
Lecture 17: Modeling Step 6 – Validate Model
Lecture 18: Modeling Step 6 – Validate Model – Part 2
Chapter 7: Results
Lecture 1: Modeling Results Presentation
Chapter 8: Appendix. Downloadable SAS Codes Used in the Section 6
Lecture 1: SAS Code Used in Modeling Steps 1-6
Instructors
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Predictive Analytics
Advanced Analytics Made Simple
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 0 votes
- 5 stars: 2 votes
Frequently Asked Questions
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