Back to SPSS: Apply & Interpret Logistic Regression Models
Learner Reviews & Feedback for SPSS: Apply & Interpret Logistic Regression Models by EDUCBA
10 ratings
About the Course
This course provides a practical and applied introduction to logistic regression and supervised learning using IBM SPSS Statistics. Designed for learners seeking to build analytical skills in predictive modeling, the course emphasizes both conceptual understanding and tool-based execution.
Through step-by-step instruction, learners will identify key components of logistic regression, configure data within SPSS, and construct predictive models using real-world case studies. They will analyze model outputs, evaluate predictor significance, and interpret statistical results to make informed decisions.
The course integrates Excel-based logistic modeling and reinforces learning through guided examples such as heart pulse analysis and smoking behavior classification. By the end, learners will be able to confidently apply logistic regression methods to structured datasets, assess model performance using statistical evidence, and communicate findings through SPSS-generated outputs.
Top reviews
Filter by:
1 - 10 of 10 Reviews for SPSS: Apply & Interpret Logistic Regression Models
By Denzil
•Nov 13, 2025
Great class, instructor was very knowledgeable and informative.
By Wasim S
•Nov 25, 2025
Very informative and kept the class interesting.
By Trinath N
•Nov 24, 2025
The instructor was amazing. Really grateful.
By Shabbir B
•Nov 18, 2025
Made the class very enjoyable and worthwhile
By Nitin m
•Nov 12, 2025
Great to learn from him and his expertise
By Denu
•Nov 28, 2025
Fabulous course. Excellent instructor.
By Swapnali M
•Dec 7, 2025
I have really enjoyed this course.
By Saquib S
•Dec 3, 2025
Instructor was excellent!
By Sha E
•Nov 24, 2025
The course was excellent
By sufiyan K
•Nov 17, 2025
Instructors were amazing