Introduction to probability and Statistics

This course provides a comprehensive introduction to the fundamental concepts of probability and statistics, including:

1. Probability:

- Basic concepts (events, sample spaces, probability measures)

- Conditional probability and independence

- Random variables and probability distributions

2. Descriptive Statistics:

- Summarizing and visualizing data

- Measures of central tendency (mean, median, mode)

- Measures of variability (range, variance, standard deviation)

3. Inferential Statistics:

- Sampling distributions and the central limit theorem

- Confidence intervals and hypothesis testing

- Introduction to regression analysis

4. Data Analysis:

- Exploratory data analysis

- Statistical modeling and inference

- Introduction to machine learning

Source - NPTEL-NOC IITM (YouTube Channel)
Prof. G. Srinivasan, Dept. of Management Studies, IIT-Madras