A Markov Model is a statistical model used to predict future states based on current conditions in various domains like physics, chemistry, statistics, and economics. Coursera's Markov Model catalogue teaches you how to apply this model to predict the probability of events over time. You'll learn how to design, implement, and analyze Markov Models, understand their potential applications in various fields like finance, weather forecasting, algorithmic trading, and speech recognition. You'll also gain a deeper understanding of Markov Chains, Markov Decision Processes, and Hidden Markov Models, developing your skills in statistical modelling, predictive analytics, and data analysis.