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.