After completing this part

• Students will gain knowledge about the basics of statistics
• Students will be able to analyze, explain and interpret the data
• They will understand the relationship and dependency between the data and how to make the prediction
• Students will understand the different methods of data analyses such as the measure of central tendency (mean, median, mode), the measure of dispersion (variance, standard deviation, coefficient of variation), quartiles, skewness  and box plot; and correlation and regression analysis
• Students will have a basic understanding of probability and Bayes theorem
• Students will have a basic understanding of Binomial, Poisson and normal distribution
• They will come to know about rates, ratio, odd ratio and screening test (confusion matrix)
• Specially, those who are interested to advance their carriers in data science and machine learning should complete the course