E-Books / Video Training →Predictive Modeling using SPSS
Published by: mitsumi on 26-12-2018, 17:25 | 0
Predictive Modeling using SPSS
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 6.5 GB
Duration: 12.5 hours | Genre: eLearning | Language: English
The course picks theoretical and practical datasets for predictive analysis
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 6.5 GB
Duration: 12.5 hours | Genre: eLearning | Language: English
The course picks theoretical and practical datasets for predictive analysis
What you'll learn
The course works across multiple software packages such as SPSS, MS Office, PDF writers, and Paint.
This course is to specifically learn about Descriptive Statistics, Means, Standard Deviation and T-test Understanding Means, Standard Deviation, Skewness, Kurtosis and T-test concepts
Requirements
Prior knowledge of Quantitative Methods, MS Office and Paint is desired
Description
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
Who this course is for:
Students
Quantitative and Predictive Modellers and Professionals
CFA's and Equity Research professionals
Pharma and research scientists
Download link:
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