
By ESEG Team
12/05/2026

The meeting will be online and open to students of the courses and other interested parties.
On August 18, 2021, at 7:10 PM, an open class of the Data Science course at ESEG – Faculdade do Grupo Etapa will be held, with the theme "Introduction to Machine Learning and its applications.".
One of the four modules of the course – which also includes Business and Design, Statistics and Modeling, and Programming with Python – Machine Learning is a data analysis technique that automates the construction of analytical models in a branch of artificial intelligence that is based on the idea that systems can learn from data.

The online class will be taught by Prof. Rodrigo Aquino, coordinator of the Computer Engineering course at ESEG and one of the professors of the Data Science course. Aquino holds a degree in Electrical Engineering from the University of São Paulo (2015) and a master's degree in machine learning from the University of São Paulo.
About the Data Science course:
Data science is one of the most promising markets not only for computer engineers, but also for professionals in other fields. Data scientists implement and manage techniques for analyzing and processing massive amounts of information, becoming a valuable asset to companies.
The ESEG course applies the latest statistical and computational methods to complex databases, aiming to identify patterns, generate insights, and make projections. With online and interactive classes designed by industry professionals and academics, the training provides students with a unique learning experience, regardless of their background.

ESEG Team
Stay informed about relevant topics and what's happening at ESEG College.
Your data is safe.
Monthly fee of ESEG is hosting an open class for its Data Science course on August 18th.
Unavailable
*Prices valid for enrollment in the second semester of 2026.
You can get a discount based on your performance in one of the ESEG College selection processes.
Institutional
Infrastructure
Entry methods
Relationship
Key differentiators
We use cookies to improve your browsing experience.