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, PaintØ
 Desired skillsets — Understanding of Data Analysis and VBA toolpack in MS Excel will be usefulØ

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.

For any query call/miss call-

Mob-+918587999769

Section 1: Importing Dataset

1                   Basic Correlation Theory

2                   Interpretation

3                   Implementation

Section 2 Interpretation and Implementation on Datasets

4                   Data Editor

5                   Simple Scatter Plot

6                   Heart Pulse

7                   Statistics Viewer

8                   Heart Pulse (Before and After RUN)

Section 2 Interpretation and Implementation on Datasets Example

9                   Interpretation and Implementation on Datasets Example 1

10                Interpretation and Implementation on Datasets Example 2

11                Interpretation and Implementation on Datasets Example 3

12                Interpretation and Implementation on Datasets Example 4

Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.

Mail us at: [email protected] with below details to receive your certificate:

• Name
• Course Name
• Date of Completion
• Address

Course Certificate:-