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Course details
Predictive modelling course aims to provide and enhance predictive modelling skills across business sectors/domains. Quantitative methods and predictive modelling concepts could be extensively used in understanding the current customer behavior, financial markets movements, and studying tests and effects in medicine and in pharma sectors after drugs are administered. The course picks theoretical and practical datasets for predictive analysis. Implementations are done using SPSS software. 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 which aren’t covered in other online courses Essential skillsets – Prior knowledge of Quantitative methods and MS Office, Paint Desired skillsets — Understanding of Data Analysis and VBA toolpack in MS Excel will be useful The course works across multiple software packages such as SPSS, MS Office, PDF writers, and Paint. Regression modelling forms the core of Predictive modelling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model. Updated on 16 February, 2023Job roles this course is suitable for:
Junior Data Analyst , senior data analyst , senior data analystAbout eduCBA
An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 5421 courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.
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