I learned a lot of interesting knowledge from this course and the specialization in general.
Strongly recommended and excellent course in the simulation modeling for business management, information theory and decision making. It requires some relevant mathematical thinking and of course the previous 3 courses of this specialization.
This course of Simulation Models is built on the main concepts of applied Probability Theory: Simulation, Permutation and Combinatorics using Excel or Google Sheet. The main topics cover distributions and cumulative probability, probability distribution, chi-squared test and advanced modeling of random generating numbers.
The case studies is about sensitivity analysis in decision making science such as: Monte-Carlo simulation using a simple risk modeling example, discrete-event simulation and counterfactual analysis. All examples are implemented in Excel and some general information about advanced programming if needed. The general approach of this course and whole specialization is about information management and business modeling skills. I am very satisfied of the final gain by learning these 4 courses.
P.S. It is not an introductory level specialization. Prior exposure to university classes in mathematics like general calculus, probability and statistics may help.
