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
SKILLS YOU WILL GAIN
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
WHAT YOU WILL LEARN
Students will understand different method of data analyses such as measure of central tendency (mean, median, mode), measure of dispersion (variance, standard deviation, coefficient of variation),
They will learn quartiles, skewness and box plot; and correlation and regression analysis
Students will have basic understanding of probability and Bayes theorem, Binomial, Poisson and normal distribution
They will come to know about rates, ratio, odd ratio and screening test (confusion matrix)