Predictive Modeling and Regression Analysis using SPSS
This Predictive Modeling and Regression Analysis course using SPSS is designed to provide and enhance predictive modeling skills across business sectors/domains. It covers theoretical and practical datasets for predictive analysis, and emphasizes on higher order regression models such as quadratic and polynomial regressions. Participants will learn to observe, interpret, predict and draw conclusions from the examples provided. Essential skillsets include prior knowledge of Quantitative methods and MS Office, Paint, while understanding of Data Analysis and VBA toolpack in MS Excel will be useful. Join this course to gain the skills to understand customer behavior, financial markets movements, and study tests and effects in medicine and pharma sectors. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2018-12-27
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
This course will provide participants with the skills and knowledge to understand predictive modeling concepts and their applications across various business sectors. Participants will learn how to use SPSS software to implement predictive analysis on theoretical and practical datasets. They will also gain an understanding of higher order regression models such as quadratic and polynomial regressions. Additionally, participants should have prior knowledge of quantitative methods and MS Office, Paint, and a basic understanding of data analysis and VBA toolpack in MS Excel will be beneficial.
Contribution to Professional Growth:
This course on Predictive Modeling and Regression Analysis using SPSS provides an opportunity for professional growth by equipping participants with the necessary skills to understand customer behavior, financial markets movements, and study tests and effects in medicine and pharma sectors. The course covers theoretical and practical datasets for predictive analysis, and provides implementations using SPSS software. Participants will also gain knowledge of higher order regression models such as quadratic and polynomial regressions, which are not typically covered in other online courses. This course is beneficial for those with prior knowledge of quantitative methods and MS Office, and those with an understanding of Data Analysis and VBA toolpack in MS Excel will find it especially useful.
Suitability for Further Education:
This course is suitable for preparing further education. It provides a comprehensive overview of predictive modeling and regression analysis using SPSS, covering topics such as quadratic and polynomial regressions. It also emphasizes the importance of quantitative methods and predictive modeling concepts, which are essential for understanding customer behavior, financial markets movements, and the effects of drugs in medicine and pharma sectors. The course requires prior knowledge of quantitative methods and MS Office, and it is beneficial to have an understanding of data analysis and VBA toolpack in MS Excel.
Course Syllabus
Importing Dataset
Correlation Techniques
Linear Regression Modeling
Multiple Regression Modeling
Logistic Regression
Multinomial Regression
Course Provider
Provider Udemy's Stats at AZClass
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