In this course the students are going to be taught about the different statistical calculations and how these calculations and analysis can be done with Python.

The course on statistics shall be covered in two parts- Descriptove and Inferential Statistics.

 During the classes for the Descriptive Statistics, the students would be introduced to the data summarization (in the areas of central tendency, variation or dispersion and the shape). They would also be introduced to the data visualization through bar charts, histograms and pie charts.

This would be followed by an exhaustive session on different probability distributions which would include binomial, poisson, normal, Student's T and exponential distribution.

During the inferential statistics, the students would be introduced to the different tools under the hypothesis testing. These tools shall include Z test, t-test, 2 sample t test, Paired t comparion,one way ANOVA.

The tools for the discrete data would include Chi-square analysis, 1-proportion and 2-proportion tests.

This would then be followed by regression analysis which would include simple linear regression, multiple linear regression and general regression.