In this particular course, you will understand how to perform different tests like correlation, regression, Anova, and T-test in SPSS. Not only this, but you will also understand that how can we enter a pre-filled questionnaire in the form of data in SPSS. Furthermore, you will also learn how to perform frequency analysis and calculate mean, median, Mod and standard deviation of your data. Data analysis is an effective part of forecasting data whether you are a researcher or a student, it can be helpful to complete an assignment. Additionally, it can be helpful in order to forecast the returns of a company for a researcher. Nowadays, everything is being dependent on data analysis and therefore it is highly recommended to understand that the data analysis can provide effective results for the future.

For instance; if there are two clothing items that are becoming easily unpopular among the people, then a correlation analysis on the returns of those two items can be conducted. If the returns are correlated with each other, then it can be said from absolute certainty that the two items are the main cause of the company's decreasing returns. Similarly, same can be predicted for the returns of two or multiple clothing items as popular brands, if the results are correlated then it can be said with certainty that those items should be more marketed in order to increase the returns of the company.