Linear Regression Modeling in 6 Easy Steps

Master multiple linear regression modeling skills by solving a real life modeling project in SAS
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  • Lectures 27
  • Contents Video: 2.5 hours
    Other: 0 mins
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 7/2014 English

Course Description

This is a training class for those who want to learn how to develop a multiple linear regression model through hands-on practice.

In this 2-hr training course, I will walk you through a 6-step modeling process step-by-step. Together, we will solve a real-world modeling project using SAS software. I will provide extensive demo on SAS coding, running codes, and explaining outputs for each step. All SAS codes and modeling data will be made available to you as well.

The goal for this training is for you to be able to develop a professional-level linear regression model independently.

What are the requirements?

  • Microsoft Excel and PowerPoint or the similar softwares
  • SAS Software with Base/Stat/Graph Components

What am I going to get from this course?

  • Learn how to develop a multiple linear regression model from the beginning to the end
  • Learn how to interpret modeling results
  • Learn how to present modeling results to others

What is the target audience?

  • Working professionals who want to learn predictive modeling skills
  • Graduates or undergraduates who want to explore their career opportunities in advanced analytics

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction
Course Objective, Outline, and Prerequisite
Preview
06:28
06:16

Review what is linear regression modeling, its basic concept, and its applications

Section 2: Project
07:37

Web link for data and document download for the project

http://www.sigkdd.org/kddcup/index.php?section=1998&method=info

Section 3: Data
Modeling data, variables, and data dictionary
Preview
07:09
Section 4: Methodology
Overview of linear regression modeling methodology
05:51
Section 5: Modeling
Overview of 6-step modeling process
Preview
03:10
05:50

Please download the 'Step 1 Prepare Data' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

05:44

Please download the 'Variable Label' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

Step 1c - prepare data - data QC demo - Part 1
05:11
Step 1c - prepare data - data QC demo - Part 2
05:33
Step 1c - prepare data - data QC demo - Part 3
03:50
Step 1d - prepare data - data transformation - Part 1
06:01
Step 1d - prepare data - data transformation - Part 2
03:16
06:19

Please download the 'Step 2 Select Variables' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

05:17

Please download the 'Step 3 Deep Dive Analysis' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

Step 3 - deep dive analysis - Part 2
06:03
03:42

Please download the 'Step 4 Transform Variables' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

Step 4 - variable transformations - Part 2
06:27
Step 4 - variable transformations - Part 3
04:12
06:58

Please download the 'Step 5 Develop Model' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

Step 5 - develop model - Part 2
06:30
Step 5 - develop model - Part 3
05:03
Step 5 - develop model - Part 4
04:41
06:06

Please download the 'Step 6 Validate Model' text file. And to save it as .sas format in order to run in SAS software. Do the same for other text file sas codes.

Step 6: validate model - Part 2
06:58
Section 6: Results Summary
Modeling results presentation write-up
06:13
Section 7: Downloadable SAS Codes
SAS Codes
Article

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Instructor Biography

Predictive Analytics, Advanced Analytics Made Simple

15+ years of professional experience on predictive modeling in different industries. Specialized in logistic regression, linear regression, generalized regression, survival analysis, decision tree, discriminant analysis, cluster analysis, and other advanced analytic. In-depth knowledge and experiences in customer acquisition, retention, and credit risk management. Developed training classes and taught classes to graduate students and other working professionals.

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