Notes from IIT Madras online degree course - Statistics for Data Science I
Create, download, manipulate and analyze data sets.
Describe data using numerical summaries and visual representations.
Translate real word problems into probability models.
Describe and apply the properties of the binomial distribution and normal distribution.
Frame questions that can be answered from data in terms of variables and cases.
Estimate chance by applying laws of probability.
Calculate expectation and variance of a random variable.
Probability Model : A probability model is a mathematical representation of a random phenomenon. It is defined by its sample space, events within the sample space and probabilities associated with each events. - ref
Sample Space : The sample space S for a probability model is the set of all possible outcomes. -ref