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Sao Paulo - Nacoes Unidas Tower

12495, Nacoes Unidas Avenue, 15th floor, Sao Paulo , Brazil

This Regus Center is located on the 15th floor of the Torre Nações Unidas building. with proximity to the Berrini business district, with entrances from Berrini Avenue and also from Nações Unidas Avenue, with plenty of restaurants and leisure options, and walking distance from Berrini Train Station.

Sao Paulo-Top Center Paulista

854 Paulista Avenue,, Sao Paulo , Brazil, 01310-100

The Top Center in São Paulo is located on Paulista Avenue. The center is close every amenity from hotels to restaurants. It is easy to get to domestic and international airports and any other region in Sao Paulo from here. It is also located 250 meters from the Trianon Masp subway and close to three other metro stations and It is strategically located for easy access to Brigadeiro Luis Antonio Avenue.

Campinas - Shopping Galleria Plaza

Avenida Doutor José Bonifácio Coutinho Nogueira, 150, Campinas, Brazil, 13091-611

Accelerate your business and find a stimulating environment for your ideas and innovations in Campinas, Brazil's Silicon Valley. Shopping Galleria Plaza is part of a vibrant university and research environment, where you'll find a strong culture for supporting and incubating business ideas.

Sao Paulo - Domo Corporate ABC

Avenida José Versolato, 101 Sao Bernardo do Campo SP 09750-730, Sao Bernardo do Campo, Brazil, 09750-730

Establish your company in São Bernardo do Campo's primary business hub, renowned for its rich automotive and manufacturing heritage. Domo Corporate ABC stands as a premier destination within the city, conveniently situated near key transportation networks and the bustling Metrópole Shopping mall. In addition to captivating panoramic views offered by floor-to-ceiling windows, you'll have access to amenities such as an on-site coffee bar, concierge services, and valet parking. After hours, immerse yourself in the vibrant cultural landscape and nightlife of the city.

Explore Our Courses

Introduction to Pre-trained Models

 14 Hours

This instructor-led, live training in Sao Paulo (online or onsite) is aimed at beginner-level professionals who wish to understand the concept of pre-trained models and learn how to apply them to solve real-world problems without building models from scratch.

By the end of this training, participants will be able to:

  • Comprehend the concept and advantages of pre-trained models.
  • Investigate various pre-trained model architectures and their respective use cases.
  • Fine-tune a pre-trained model for specific tasks.
  • Integrate pre-trained models into straightforward machine learning projects.
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AWS Cloud9 for Data Science

 28 Hours

This instructor-led, live training in Sao Paulo (online or onsite) is designed for intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

By the end of this training, participants will be able to:

  • Set up a data science environment in AWS Cloud9.
  • Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
  • Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
  • Utilize AWS Cloud9 for machine learning model development and deployment.
  • Optimize cloud-based workflows for data analysis and processing.
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Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours

This instructor-led, live training in Sao Paulo (online or onsite) is tailored for intermediate-level professionals seeking to automate and manage machine learning workflows, encompassing model training, validation, and deployment via Apache Airflow.

Upon completing this training, participants will be equipped to:

  • Configure Apache Airflow to orchestrate machine learning workflows.
  • Automate essential tasks such as data preprocessing, model training, and validation.
  • Seamlessly integrate Airflow with various machine learning frameworks and tools.
  • Deploy machine learning models through automated pipelines.
  • Monitor and optimize machine learning workflows within production environments.
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Introduction to Google Colab for Data Science

 14 Hours

This instructor-led live training in Sao Paulo (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab.
  • Write and execute basic Python code.
  • Import and handle datasets.
  • Create visualizations using Python libraries.
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Python Programming for Finance

 35 Hours

Python has become a highly favored programming language within the financial sector. Utilized by major investment banks and hedge funds, it powers a diverse array of financial applications, from core trading systems to risk management solutions.

In this instructor-led live training, participants will learn how to leverage Python to create practical applications that address specific finance-related challenges.

Upon completing this training, participants will be able to:

  • Grasp the fundamental concepts of the Python programming language
  • Download, install, and maintain the optimal development tools for building financial applications in Python
  • Choose and employ the most effective Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (such as CSV, Excel, databases, and web APIs)
  • Develop applications that resolve issues related to asset allocation, risk analysis, investment performance, and more
  • Troubleshoot, integrate, deploy, and optimize Python applications

Audience

  • Developers
  • Analysts
  • Quants

Course Format

  • A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

  • This training focuses on providing solutions for key challenges faced by finance professionals. If there is a specific topic, tool, or technique you wish to include or explore in greater depth, please contact us to arrange it.
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Introduction to Data Science and AI using Python

 35 Hours

This course delves into practical methodologies for Data Science and AI utilizing Python, empowering professionals with the expertise to analyze data, develop machine learning models, and implement AI-driven solutions within business environments. It encompasses CRISP-DM workflows, statistical analysis, supervised and unsupervised learning, deep learning with TensorFlow, natural language processing, big data processing with Spark, and data-driven storytelling. It is an ideal choice for beginners aiming for a Python data science certification and seeking career-ready analytics training.

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Data Science with KNIME Analytics Platform

 21 Hours

KNIME Analytics Platform stands out as a premier open-source solution for driving data-led innovation. It empowers you to uncover hidden value within your data, extract new insights, or forecast future trends. Equipped with over 1,000 modules, numerous pre-configured examples, a broad suite of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as an essential toolkit for both data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent entry point for beginners, as well as opportunities for advanced users and experts to deepen their understanding. Participants will learn to utilize KNIME more efficiently and master the creation of clear, thorough reports built on KNIME workflows.

This instructor-led live training, available both online and onsite, is designed for data professionals looking to leverage KNIME to address complex business challenges.

The program is particularly suited for individuals without programming backgrounds who wish to utilize state-of-the-art tools to implement analytical scenarios.

Upon completing this training, participants will be able to:

  • Install and set up KNIME.
  • Develop Data Science scenarios.
  • Train, test, and validate models.
  • Implement the complete end-to-end data science model lifecycle.

Format of the Course

  • Interactive lectures and discussions.
  • Extensive exercises and practical application.
  • Hands-on implementation within a live laboratory environment.

Course Customization Options

  • To request customized training for this course or to learn more about this program, please contact us to arrange.
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Machine Learning for Data Science with Python

 21 Hours

This instructor-led, live training in Sao Paulo (online or onsite) is designed for intermediate-level data analysts, developers, or aspiring data scientists who aim to utilize machine learning techniques in Python to extract insights, generate predictions, and automate data-driven decisions.

Upon completion of this course, participants will be able to:

  • Comprehend and distinguish between key machine learning paradigms.
  • Investigate data preprocessing techniques and model evaluation metrics.
  • Apply machine learning algorithms to address real-world data challenges.
  • Utilize Python libraries and Jupyter notebooks for practical development.
  • Construct models for prediction, classification, recommendation, and clustering.
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Testimonials (2)

Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.

Nazeera Mohamad - Ministry of Science, Technology and Innovation

Course - Introduction to Data Science and AI using Python

Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain

Richard Blewett - Rock Solid Knowledge Ltd

Course - Machine Learning – Data science

Upcoming Courses

Introduction to Pre-trained Models

2026-08-20 09:30
14 hours
Sao Paulo - Domo Corporate ABC
$ 4330 (Online)
$ 5330 (Classroom)

Machine Learning for Data Science with Python

2026-09-03 09:30
21 hours
Sao Paulo - Nacoes Unidas Tower
$ 8730 (Online)
$ 10230 (Classroom)

Machine Learning for Data Science with Python

2026-09-17 09:30
21 hours
Sao Paulo-Top Center Paulista
$ 8730 (Online)
$ 10230 (Classroom)

Introduction to Data Science and AI using Python

2026-10-01 09:30
35 hours
Campinas - Shopping Galleria Plaza
$ 13612 (Online)
$ 16112 (Classroom)

Introduction to Google Colab for Data Science

2026-10-15 09:30
14 hours
Sao Paulo - Domo Corporate ABC
$ 5980 (Online)
$ 6980 (Classroom)

AWS Cloud9 for Data Science

2026-10-29 09:30
28 hours
Sao Paulo - Nacoes Unidas Tower
$ 11275 (Online)
$ 13275 (Classroom)

Other regions in Brazil

Other Countries

These courses are also available in other countries

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