Home:
12/04/2025
Duration:
4 face-to-face meetings
(12 and 26/04 and 10 and 17/05)
Timetable:
9am to 6pm
Workload:
32 face-to-face hours and 10 hours of asynchronous self-study
Target audience:
Managers and decision-makers who wish to broaden their analytical knowledge of data, developing data-based projects capable of supporting strategic business decisions.
Investment and payment method:
R$13,900.00, cash at PIX or in installments up to 12x without interest
The executive program Data Science for Decision Makers was developed with the aim of presenting techniques for analyzing and investigating data for decision making, with application for market professionals from various sectors.
In this program, students will learn about investigating problems and choosing the best data and models to start a project, techniques for descriptive data analysis, models and frameworks for data-based predictive analysis, as well as hypothesis testing and design of experiments to gain insights important insights for decision-making.
The content is covered using cases from renowned international universities and mediated by teachers with extensive experience in the market.
Module 1 - Diagnosis: Defining the Problem
Module 2 - Descriptive Analysis: Investigating the Past
Module 3 - Predictive Analysis: Inferring the Future
Module 4 - Experimentation: Testing Changes
Partner at IBM
Former Marketing Director, Netshoes
Former McKinsey & Company
Director of Data, Afya
Former Director of Analytics & Data Science, Loft
Former Manager & Consultant, IBM
CEO Americas, Inspired Education Group
Former Executive VP, Eleva Education
Former McKinsey & Company
Principal Data Scientist, Arvo Saúde
EX-Head of Data Science, Experian DataLab
Ex-BCG
Product Manager, Inteli
Mathematics teacher (Silver Medal International Mathematics Competition)
Former professional poker player
Chief Data & AI Officer, Claro
Former Chief Data Officer, Oi
Former professor of data science, FIAP + SENAI
Location
An innovation and technology ecosystem located in São Paulo, within the university city.
Courses
Become a partner
Location
An innovation and technology ecosystem located in São Paulo, within the university city.