Class Business Metrics

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

Not applicable

1. Descriptive Statistics Classification of variables Measures of central tendencylocalization, dispersion, and asymmetry Graphical representations (bar charts, histograms, box plots...) 2. Correlation and Regression Coefficients of correlation Simple linear regression estimation Quality of fit 3. Probability Sample Space, events, and probability definition Conditional probability Law of compound probability  Theorem of total probability Theorem of Bayes 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 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 = 30% Test or Exam Grade (T1) + 40% Computational project (P) Business Metrics Component Grade = B Final Grade = 30% T1 + 40% P + 30% * B

Apontamentos das aulas e textos de apoio