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Perform and Analyze the Results of Binary Logistic Regression Analysis using Minitab 19

Enroll now to get PMI® PDUs, and SHRM® PDCs at no extra cost—all included in the course price!

Welcome to "Binary Logistic Regression with Minitab," a comprehensive course designed to teach you one of the most commonly used classification techniques in data science, machine learning, and statistics. This course will focus on using Minitab 19 to perform and interpret binary logistic regression analysis. Whether you are new to logistic regression or looking to enhance your skills, this course provides a thorough understanding of the theoretical concepts and practical applications of binary logistic regression.


Why This Course?

  • Expert Instruction: Learn from an experienced instructor with extensive knowledge in data analysis and Minitab.
  • Comprehensive Coverage: The course covers a wide range of topics related to binary logistic regression, from basic concepts to advanced techniques.
  • Practical Application: Gain hands-on experience with Minitab 19, applying logistic regression to real-world datasets.
  • Flexible Learning: Access video lectures, practical examples, and quizzes at your own pace, fitting your learning into your busy schedule.
  • Accreditation and Certification: Earn PMI PDUs and SHRM PDCs at no additional cost, and receive a digital certificate from Quality Gurus upon course completion.


What is Binary Logistic Regression?

Binary logistic regression is a statistical method used to predict a binary outcome (yes/no, true/false, sick/healthy) based on one or more continuous independent variables. It is often referred to as logistic regression but is specifically called binary logistic regression in Minitab. This technique is widely used in various fields to model binary outcomes and understand the relationships between variables.


What Will You Learn?

This course offers a comprehensive curriculum designed to cover all aspects of binary logistic regression using Minitab. Here’s what you will learn:

  • Purpose of Binary Logistic Regression: Understand the reasons for using logistic regression and its applications.
  • Concept of Odds and ln(Odds): Learn about odds, their logarithmic transformation, and how they are used in logistic regression.
  • Logistic Regression Equation: Grasp the formulation and interpretation of the logistic regression equation.
  • Odds Ratio: Calculate and interpret odds ratios to understand the effect of predictors.
  • Confusion Matrix: Analyze model performance using the confusion matrix.
  • Receiver Operating Characteristic (ROC) Curve: Evaluate model accuracy with the ROC curve.
  • R-Squared in Context of Logistic Regression: Understand the role of R-squared in logistic regression.
  • Hosmer-Lemeshow Goodness of Fit Test: Assess model fit using the Hosmer-Lemeshow test.
  • Project Work: Apply all concepts in a practical project involving a marketing campaign for a new cereal product.


Topics Covered

Section 1: Introduction to Binary Logistic Regression

  • The Purpose of Binary Logistic Regression: Learn why binary logistic regression is used and its applications in different fields.
  • The Concept of Odds and ln(Odds): Understand odds, their transformation to natural logarithms, and their significance in logistic regression.
  • Logistic Regression Equation: Study the formulation of the logistic regression equation and its components.

Section 2: Key Concepts and Techniques

  • Odds Ratio: Learn to calculate and interpret odds ratios, a key metric in logistic regression analysis.
  • Confusion Matrix: Analyze the performance of your logistic regression model using the confusion matrix to understand true positives, false positives, true negatives, and false negatives.
  • Receiver Operating Characteristic (ROC) Curve: Evaluate the accuracy and diagnostic ability of your model using ROC curves and AUC (Area Under the Curve).
  • R-Squared in Context of Logistic Regression: Understand how R-squared is used differently in logistic regression compared to linear regression.

Section 3: Model Evaluation and Goodness of Fit

  • Hosmer-Lemeshow Goodness of Fit Test: Perform and interpret the Hosmer-Lemeshow test to assess the fit of your logistic regression model.
  • Project Work: Apply your knowledge in a practical project where marketers investigate the effectiveness of an ad campaign for a new cereal. Factors considered include income, ad exposure, and presence of children in the household.


Who is This Course For?

This course is designed for a diverse audience, including:

  • Data Analysts and Business Analysts: Professionals who need to analyze data and make data-driven decisions.
  • Quality Management Professionals: Individuals responsible for ensuring quality through statistical analysis.
  • Students and Aspiring Data Scientists: Those pursuing a career in data science or looking to enhance their regression analysis skills.
  • Project Managers: Professionals managing projects who need to understand and apply regression analysis.
  • Anyone Interested in Data Analysis: Individuals who want to gain a comprehensive understanding of binary logistic regression using Minitab.



Obtain PMI PDUs and SHRM PDCs

As part of your professional development, this course offers you the opportunity to earn Professional Development Units (PDUs) from the Project Management Institute (PMI) and Professional Development Credits (PDCs) from the Society for Human Resource Management (SHRM). Quality Gurus Inc. is proud to be an authorized training partner of PMI (#6034) and a SHRM Recertification Provider.

PMI PDUs

  • Earn PDUs: This course is approved by PMI and allows you to earn PDUs, which are essential for maintaining your PMI certifications such as PMP, CAPM, and others.
  • Updated PMI Talent Triangle: The PDUs you earn from this course align with the updated PMI Talent Triangle, which now focuses on:
    • Ways of Working: Emphasizes the technical aspects of managing projects, including methodologies, tools, and techniques.
    • Power Skills: Includes communication, leadership, negotiation, and emotional intelligence.
    • Business Acumen: Covers the understanding and application of business knowledge, including strategy, innovation, and market dynamics.
  • How to Claim: Upon completion of the course, you will receive a certificate of completion. You can then claim your PDUs by logging into the PMI website and submitting the course details along with your certificate.

SHRM PDCs

  • Earn PDCs: This course is approved by SHRM for Professional Development Credits, which are vital for maintaining your SHRM-CP or SHRM-SCP certifications.
  • Categories of PDCs: The PDCs you earn will cover various aspects of human resource management, enhancing your skills and knowledge in this domain.
  • How to Claim: After completing the course, you will receive a certificate of completion. You can then submit this certificate through the SHRM certification portal to claim your PDCs.


Call to Action

Are you ready to take your regression analysis skills to the next level? Enroll in our comprehensive "Binary Logistic Regression with Minitab" course today and gain the knowledge and practical tools you need to perform effective binary logistic regression analysis. With expert instruction, a comprehensive curriculum, and practical applications, this course is designed to help you succeed. Plus, you’ll earn valuable PMI PDUs and SHRM PDCs at no additional cost.

Enroll Now and start your journey towards mastering binary logistic regression using Minitab. Equip yourself with the skills to analyze data effectively, make informed decisions, and deliver greater value to your organization. Don’t miss out on this opportunity to enhance your professional credentials and advance your career.

Enroll in the Binary Logistic Regression with Minitab Course

Join thousands of professionals who have enhanced their careers through Quality Gurus' comprehensive training programs. Your journey to becoming an expert in regression analysis starts here.

Thank you for considering Quality Gurus for your professional development. We look forward to helping you achieve your learning and career goals.

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