Mastering Logistic Regression Analysis: Theory and Practice with IBM SPSS and MS Excel
Master the intricacies of logistic regression analysis in this comprehensive course. Gain theoretical insights and practical skills using IBM SPSS and MS Excel. Explore real-world examples to understand variable equations and interpret output effectively. Access practice files to reinforce learning and apply techniques confidently.
Offer ends in:
What you'll get
- 2+ Hours
- 1 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Theoretical foundations of logistic regression analysis.
- Practical implementation using IBM SPSS Statistics Data Editor and Viewer.
- Application of logistic regression techniques using MS Excel.
- Interpretation of variable equations and model output.
- Hands-on experience with real-world examples such as smoke preferences and heart pulse study data.
- Generating and interpreting output effectively.
- Techniques for assessing model fit and validity.
- Strategies for troubleshooting common logistic regression analysis issues.
- Utilization of practice files to reinforce learning and enhance proficiency.
- Mastery of logistic regression analysis for making informed decisions in research and data analysis.
- course aims to provide and enhance predictive modelling skills across business sectors
- The course picks theoretical and practical datasets for predictive analysis
- Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training
- The course also emphasizes on the higher order regression models such as quadratic and polynomial regressions
Content
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MODULE 1: Essentials Training
Courses No. of Hours Certificates Details Logistic Regression & Supervised Learning using SPSS 2h 37m ✔
Description
Introduction:
In this comprehensive course, participants will embark on a journey to master logistic regression analysis. The course begins with a thorough exploration of logistic regression concepts, ensuring participants grasp the theoretical foundations. They will then transition into practical application, working with the IBM SPSS Statistics Data Editor and Viewer to gain hands-on experience in logistic regression analysis.
Implementation using MS Excel - Example:
Participants will delve into practical implementation using MS Excel, a widely accessible tool for data analysis. Through real-world examples such as smoke preferences and heart pulse study data, participants will learn to apply logistic regression techniques. They will explore variables in the equation, generate output, and interpret the results, gaining valuable insights into the application of logistic regression in diverse scenarios.
To reinforce learning and enhance proficiency, participants will have access to practice files containing datasets and exercises. These files provide opportunities for participants to apply the concepts learned throughout the course, further solidifying their understanding of logistic regression analysis and its practical applications.
Throughout the course, participants will receive expert guidance and support, enabling them to master logistic regression analysis and become proficient in using IBM SPSS and MS Excel for data analysis. By the end of the course, participants will be equipped with the skills and knowledge to confidently apply logistic regression techniques to their own projects and research endeavors.
Requirements
- Prior knowledge of Quantitative Methods, MS Office and Paint is desired.
Target Audience
- Data Engineers, Analysts, Architects, Software Engineers, IT operations, Technical managers
Course Ratings
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A useful course on how to do Logistic regression, and what is logistic regression using SPSS which adds into dimension a dummy/categorical variable apart from the dependent and independent variable to determine and/or forecast the happening or no happening/ forecasting of an event /based on certain conditions, happening and available data. I would recommend before taking this course start of with descriptive analysis and then move on how to do linear and multivariate regression using SPSS
Jayakanth Kasthuri
SPSS is the most vital, significant tool in statistics. Its usage is in every organisation. The educba has deal with this subject very greatly. The course is very help in understanding such complex topic. I was feeling tough to deal with it priorly. Now after educba comprehensive understanding the topic, I became very confident to excel in this topic and confident to work out in organisation. Thanks educba
Ashutosh kumar