SPSS GUI and Applications

In this course, you will be learning the Interpretation of descriptive statistics and t- values along with the implementation on example/sample datasets using SPSS

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 1h 13m | 9 Videos | 76790 Views |   Intermediate| English[Auto-generated]

Descriptive Statistics using SPSS:

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. 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
• Interpretation of descriptive statistics and t- values
• Implementation on example/sample datasets using SPSS

Target Customers:

This course is not focused on specific set of sectors and domains because it can used by professionals across sectors. However, the list of professionals bulleted below should be able to make the best use of it

• Students
• Quantitative and Predictive Modellers and Professionals
• CFA’s and Equity Research professionals
• Pharma and research scientists

Pre-Requisites:

Detailed in course description below, Prior knowledge of Quantitative Methods, MS Office and Paint is desired

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