Logistic Regression using SAS - Indepth Predictive Modeling

🧠 Dive into Predictive Modeling with Logistic Regression using SAS 🚀

Course Overview 📘

What is this course all about? 🤔

Unlock the secrets of credit scoring and logistic regression model building! This comprehensive course is your guide to mastering the art of predictive modeling using SAS, with a solid foundation in analytics, machine learning, and data science. 🔍

Course Content Breakdown 📚

• Objective Clarity & Data Sufficiency: Learn how to define clear objectives and ensure your data meets the requirements for analysis.
• Performance Window Definition: Understand how to set performance expectations and goals.
• Data Treatment Techniques: Master data cleaning, preparation, and transformation for predictive modeling.
• Variable Selection Strategies: Gain expertise in selecting relevant variables, managing numeric and character variables, and addressing multi collinearity issues.
• Model Strength Assessment: Discover methods to evaluate the robustness of your model.
• Model Validation: Learn the best practices for validating your models to ensure their reliability and accuracy.
• Interpreting SAS Output: Develop an understanding of how to interpret complex SAS outputs and refine your modeling approach accordingly.
• Hands-On Workout: Engage in a step-by-step model development exercise using example datasets.

Materials Provided 📽️🖥️📝

• Video Tutorials: Watch screen recordings with audio for a visual and auditory learning experience.
• PDF Presentations: Access comprehensive presentations that summarize key concepts and findings.
• Excel Datasets: Get practical with real datasets to work on throughout the course.
• Code Document: Refer to a detailed Word document containing all the SAS codes used in the course.
• Model Development Workout Details: Follow an Excel document that outlines the step-by-step process of model development.

Time Commitment ⏱️

• Duration: This course is designed to be completed in approximately 30 hours, allowing you to learn at your own pace.

Course Structure 📐

• The course is divided into seven sections, each building upon the previous one, ensuring a cohesive and comprehensive learning experience.

Why Take this course? 🚀

Elevate your analytics career! This course is tailored for students and analytics professionals who wish to:

• Gain a Crystal Clear Understanding: of logistic regression, credit scoring, and the use of SAS for predictive modeling.
• Excel in Interviews: Confidently demonstrate your knowledge and skills to potential employers.
• Achieve Success in Your Analytical Career: Produce high-quality work that stands out in the field due to your command over statistical techniques.

Join Gopal Prasad Malaker, an expert in the field, for an immersive learning experience that will empower you with the skills and knowledge required to excel in data science, machine learning, and analytics roles. 🌟