Data Science for Decision Makers
Turn data into strategic decisions and drive results for your business.
About the Course
The executive program “Data Science for Decision Makers” was developed with the goal of introducing data analysis and research techniques for decision-making, with applications for business professionals in various sectors.
In this program, students will learn about problem investigation and selecting the best data and models to launch a project, techniques for descriptive data analysis, models and frameworks for data-driven predictive analysis, as well as hypothesis testing and experimental design to gain key insights for decision-making.
The content is covered using cases from renowned international universities and mediated by teachers with extensive experience in the market.
Target audience:
To train the future leaders who will transform Brazil through technology.
Investment and Payment Methods
R$13,900.00, payable in full via PIX or in up to 12 interest-free installments by credit card.
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
Faculty
Gabriela Fujiki Platinetty
Partner at IBM
Former Marketing Director, Netshoes
Former McKinsey & Company
Jordan Piva
Product Manager, Inteli
Mathematics teacher (Silver Medal International Mathematics Competition)
Former professional poker player
Daniel Scalli
Director of Data, Afya
Former Director of Analytics & Data Science, Loft
Former Manager & Consultant, IBM
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.
Pedro Teberga
Education manager and professor at Einstein, Inteli, ESPM, FGV and Belavista. Visiting professor at NOVA SBE. Partner at Polinize.