Data Science for Decision Makers

Turn data into strategic decisions and boost your business results

Home:

09/08/2025

Duration:

4 face-to-face meetings
(09, 16, 23 and 30/08/2025)*

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

*Date subject to change with prior notice

I'm interested

About the course:

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.

Topics covered in the course:

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

By the end of the course, you will be able to:

Apply heuristics and deal with possible data biases in the decision-making process
Solving problems with exploratory data analysis
Structuring data observations with visualization techniques
Apply predictive models to make inferences about possible future results
Develop experiments to validate hypotheses

Gabriela Fujiki Platinetty

Partner at IBM
Former Marketing Director, Netshoes
Former McKinsey & Company

Daniel Scalli

Director of Data, Afya
Former Director of Analytics & Data Science, Loft
Former Manager & Consultant, IBM

Pedro Teberga

Education manager and professor at Einstein, Inteli, ESPM, FGV and Belavista. Visiting professor at NOVA SBE. Partner at Polinize.

Jordan Piva

Product Manager, Inteli
Mathematics teacher (Silver Medal International Mathematics Competition)
Former professional poker player

Wescley Trajano

Senior Data & Analytics Manager at Ambev, Lean Six Sigma Black Belt, with a master's degree in Production Engineering from UFABC and an MBA in Data Science and Analytics from USP.