A Journey of Studying ‘Probability – The Science of Uncertainty and Data’

Introduction This is my second course in MIT MicroMasters® Program in Statistics and Data Science. I learned probability theory when I was a graduate school student in a stochastic process course. The course helped me review many key probability concepts such as Random variables, Bayesian inference, Central limit theorem, Poisson processes, Markov chain, etc. Overall, …