SPSS – Correlation Techniques

This course on comparable company analysis will help the learner in getting a general overview and understand where comparable comps places itself in the bigger picture of valuation of stocks.

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 1h 8m | 12 Videos | 69195 Views |   Intermediate| English[Auto-generated]

Understanding Correlation Techniques 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.
Through this course we are going to understand how correlation techniques explain relationships across variables and are important in explain the model fitment in regression courses.
Particularly we shall be understanding basic correlation theory and understanding positive, negative and zero correlation.
• Interpretation of correlation values for predicting current relationships
• Implementation on 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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