en-USFree Mini-Course on
Introduction to Machine Learning with Python
Open registrations
Have you ever imagined turning data into strategic insights capable of transforming projects, companies, and even your career?
Machine Learning opens this door, and Python is the key. If you are looking to stand out in a growing market, learning this language is the decisive step. It is not just about understanding code; it is about building the future with data.
In this 100% free course, you will master the fundamentals of data analysis and Machine Learning. With live classes by Professor Wilson Tarantin Junior, you will learn how to use the main Python libraries, such as Pandas, Matplotlib, and Seaborn, to transform raw data into powerful solutions.
Get ready to take the first step towards your successful career in the universe of data analysis and machine learning, guided by USP/Esalq experts.
100% free
Online
Enrollment
December 8, 2025, to January 27, 2026
Live Classes
February 03 and 10, 2026 (Tuesdays), from 7 PM to 10 PM BRT (UTC-3)
Duration
2 days of classes + 15 days of access to recorded content
Certificate
Issued by USP/Esalq (upon participation)
Who is this course for?
• Students and professionals who want to learn Python as a tool for data analysis and machine learning.
• IT professionals, statisticians, data analysts, and everyone who seeks to stand out using Python for decision-making.
• People without prerequisites who want to enter the field of Machine Learning and prepare for the market.
Secure your place now!
It is limited! Fill out the form below and start your journey in the world of Machine Learning with Python. Do not put off until tomorrow what can transform your career today.
https://academico.mbauspesalq.com/inscreva-se/2597
Course Coordination
Luiz Paulo Fávero
Wilson Tarantin
What will you learn?
Day 1: Introduction to Python and Data Analysis
• Development environment for Python: configure your environment and start programming.
• Main Python libraries: discover Pandas, Matplotlib, and Seaborn for data manipulation and graphic visualization.
• Database structure: how to organize and understand data for better use.
Day 2: Machine Learning and Graphic Visualization
• Introduction to Machine Learning: what it is and how to apply it in different scenarios.
• Data Manipulation: learn how to treat data with Pandas to build ML models.
• Graphical Visualization: how to use Matplotlib and Seaborn to interpret data and make strategic decisions.
Why participate?
• Develop practical skills in Python, essential for professionals who want to stand out in the data market.
• Receive a USP/Esalq certificate, nationally recognized, that will give you a significant advantage on your resume.
• Connect with professionals who share the same passion for data and machine learning.
Bonus tip:
Those who participate in the Introduction to Machine Learning with Python course will have priority access to exclusive content and special benefits for next classes of MBA programs in technology and data at USP/Esalq.
Transform your career. Transform your future. Start now with USP.