This course starts with introduction to basic concepts of statistics with primary focus on quantitative statistics methods. This is the right course for all those who are interested to churn large volume of quantitative data to derive meaningful information.

Next, we introduce you the award-winning statistical software i.e., IBM SPSS. You will learn from basics to most advanced procedures of IBM SPSS.

Then, we teach you different techniques of quantitative statistical methods. These techniques will help you analyze univariate, bivariate and multivariate statistical analysis tools.

We teach all these methods / procedures with the help of SPSS. The advantage of SPSS is that you don't need to write any complex programs or codes to run complicated statistical procedures. Instead of focusing on coding you can focus on defining the tests, run the analysis, and interpret the results.

We also provide the datasets for you to practice the concepts learned from our lectures.

Using the datasets provided and by following video lectures you will learn how to detect univariate outliers, multivariate outliers, t-tests (one sample, related, independent), bivariate analysis like correlation, zero-order correlation, simple linear regression, then multivariate analysis like multiple linear regression. In addition, you will learn bivariate logistic regression, multivariate logistic regression, and finally you will learn analysis of variance (ANOVA).