Big-Data-and-Business-Intelligence-for-the-Industry Postgraduate degree - Polytechnic university of madrid Python Libraries matplotlib.pyplot numpy cvxopt pulp sklearn tatsmodels.tsa.seasona Module 1: Fundamentals of Business Analysis. 60 hours Module 2: Descriptive Analysis and Exploratory Analysis. 40 hours Topic 9: Data exploration and visualisation. Topic 10: Descriptive statistical measures. Topic 11: Data modelling and probability distributions. Topic 12: Sampling and estimation. Topic 13: Inferential statistics. Module 3: Predictive Analytics. 50 hours Topic 14: Trend and regression analysis. Topic 15: Introduction to Data Mining. Topic 16: Monte-Carlo simulation and risk analysis. Module 4: Prescriptive Analysis. 50 hours Topic 17: Linear optimisation. Topic 18: Applications of linear optimisation. Topic 19: Integer optimisation. Topic 20: Analysis and decision making. Topic 21: Non-linear optimisation. Topic 22: Markov chain and queueing theory. Topic 23: Optimisation models under risk conditions.