Class Business Metrics

This subject is devoted to fundamental concepts in the theory of probability, statistics and business metrics. 

Not applicable

1. Descriptive Statistics Types of data. Frequency tables Measures of central tendency and variability Visualization 2. Linear Regression Independent vs. dependent variables. Scatter plots Covariance and Pearson's coefficient Residue. Regression line, Calculation of the estimate for the response, given a certain value for the independent variable 3. Probability Random experiment. Sample space. Operations between events. Properties of the probability function. Probability of the union of events. Law of total probability. Bayes' Theorem. Conditional probability. Independent events. 4. Business Indicators Concept of Business Performance Evaluations: executive teams, departments, and individuals   KPI Structure: operational and strategic, financial metrics customer experience processes marketing IT Sales human resources OKR and Balanced Scorecard Methodology Building a dashboard in PowerBI

In the classes, the ideas underlying the curriculum of this course are discussed, and multiple examples and application exercises are analyzed. For each topic in this course, a set of application exercises is presented. Students are encouraged to solve these exercises and to raise any doubts they may have. All supporting materials and relevant information will be shared with students through Moodle. Evaluation: Probability and Statistics Component Grade = A A = average of 2 tests or Exam Grade (Final Exam or Make-up) Business Metrics Component Grade = B Final Grade = 0.8 * A + 0.2 * B

Morais, M. C. (2020): Probabilidades e Estatística: Teoria, Exemplos e Exercícios, IST Press (Coleção Ensino da Ciência e da Tecnologia) Murteira, B., Ribeiro, C.S., Andrade e Silva, J., e Pimenta C. (2010): Introdução à Estatística, Escolar Editora Murteira, B. (1993): Análise Exploratória de Dados - Estatística Descritiva, McGraw-Hill