This course provides basic concepts in Statistics and Probability theory that are mainly fundamental to Machine Learning and Data Science. The course addresses a review on basis statistics, Discrete and Continuous Distributions, Sampling and Sampling Distributions, Statistical Inference and Estimates, Analysis of Variance, Regression and Correlation Analysis, Probability distributions and random Sampling, Accept-Reject Sampling and many more.