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Puerto Madero - Torre Colonos Sur

Edificio Colonos Sur, Buenos Aires, Argentina, C1107BGA

The Center is situated on the third floor of the high-rise Torre Colonos Sur tower, now the Argentine base for the Royal Bank of Scotland, which bought out ABN-AMRO in 2007. It is a 10-minute walk from local bus routes and 15 minutes from a metro station. The Center has its own parking and is protected by CCTV coverage.

Buenos Aires - Laminar Catalinas

5th floor, 240 Ing. Buttystreet, Buenos Aires, Argentina, C1001AFB

The Buenos Aires Laminar Catalinas Centre is on the fourth floor of the 20-storey Laminar Plaza Tower, a 1997 high-rise with glass façade, marble and granite entrance and views across the River Plate. It forms part of the Catalinas Norte, a purpose-built complex of 15 commercial office buildings occupied by leading Argentine and international companies, diplomatic offices and the Sheraton Hotel, the first skyscraper to open as part of the development project in the 1970s. This central location is near the Retiro station, the main terminal for long distance bus and rail services and Argentina's largest transportation hub. Catalinas Norte is one of the zones that make up the city's commercial district, and there are many financial, technology, utilities and consultancy businesses nearby. There is 24-hour access to the centre, which has its own secure underground parking.

Buenos Aires - Libertador

Libertador Avenue 101 Buenos Aires , Buenos Aires, Argentina, B1638BEA

Experience sustainable work environments within the striking glass structure located in Vicente López, just under 10 minutes away from Jorge Newbery Airport and Rivadavia train station. Impress clients with a memorable reception in the luminous, tree-lined atrium, and foster connections in the cozy business lounge. Treat yourself and your guests to refreshments at one of the restaurants conveniently located in the adjacent retail park.

Explore Our Courses

Introduction to Pre-trained Models

 14 Hours

This instructor-led, live training in Buenos Aires (online or onsite) is designed for beginner-level professionals who want to grasp the concept of pre-trained models and learn how to apply them to real-world challenges without developing models from scratch.

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

  • Grasp the concept and advantages of pre-trained models.
  • Examine different pre-trained model architectures and their applications.
  • Customize 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 Buenos Aires (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.
  • Conduct data analysis using Python, R, and Jupyter Notebook in Cloud9.
  • Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
  • Use AWS Cloud9 for developing and deploying machine learning models.
  • 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 Buenos Aires (online or onsite) is aimed at intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.

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

  • Configure Apache Airflow to orchestrate machine learning workflows.
  • Automate tasks related to data preprocessing, model training, and validation.
  • Integrate Airflow with various machine learning frameworks and tools.
  • Deploy machine learning models via automated pipelines.
  • Monitor and optimize machine learning workflows in production environments.
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Introduction to Google Colab for Data Science

 14 Hours

This instructor-led, live training in Buenos Aires (online or onsite) is designed for beginner-level data scientists and IT professionals who want to learn the fundamentals of data science using Google Colab.

Upon completion 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 highly popular in the financial sector. Major investment banks and hedge funds use it to create various financial applications, from core trading systems to risk management tools.

In this instructor-led training, participants will learn to use Python to develop practical applications for solving specific finance problems.

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

  • Understand Python programming fundamentals
  • Download, install, and configure the best tools for creating financial applications in Python
  • Select and use the most suitable Python packages and techniques to organize, visualize, and analyze financial data from multiple sources (CSV, Excel, databases, web, etc.)
  • Build applications to address asset allocation, risk analysis, investment performance, and other challenges
  • Troubleshoot, integrate, deploy, and optimize Python applications

Audience

  • Developers
  • Analysts
  • Quants

Course Format

  • Lectures, discussions, exercises, and extensive hands-on practice

Note

  • This training provides solutions to common challenges faced by finance professionals. If you wish to add or elaborate on specific topics, tools, or techniques, please contact us to arrange.
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Introduction to Data Science and AI using Python

 35 Hours

This course provides a practical exploration of Data Science and AI utilizing Python, empowering professionals with the capabilities to analyze data, construct machine learning models, and implement AI-powered applications within business environments. It covers CRISP-DM methodologies, statistical analysis, supervised and unsupervised learning techniques, deep learning with TensorFlow, natural language processing, big data processing with Spark, and data-driven storytelling. It is an ideal choice for beginners pursuing 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 data-driven innovation, empowering you to uncover hidden potential within your data, extract fresh insights, and predict future trends. Equipped with over 1,000 modules, numerous ready-to-run examples, a broad spectrum of integrated tools, and the most extensive selection of advanced algorithms, KNIME Analytics Platform serves as an ideal toolbox for both data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to familiarize themselves with KNIME, learn how to utilize it more effectively, and develop clear, comprehensive reports based on KNIME workflows.

This instructor-led live training (available online or onsite) is designed for data professionals aiming to leverage KNIME to address complex business requirements.

It is targeted at an audience that lacks programming experience but intends to use cutting-edge tools to implement analytics scenarios.

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

  • Install and configure KNIME.
  • Build Data Science scenarios.
  • Train, test, and validate models.
  • Implement the end-to-end value chain of data science models.

Format of the Course

  • Interactive lecture and discussion.
  • Plenty of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a 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 Buenos Aires (online or onsite) targets intermediate-level data analysts, developers, or aspiring data scientists who aim to leverage machine learning techniques in Python to extract insights, generate predictions, and automate data-driven decisions.

Upon completing this course, participants will be able to:

  • Comprehend and distinguish between key machine learning paradigms.
  • Explore 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

Machine Learning for Data Science with Python

2026-08-18 09:30
21 hours
Puerto Madero - Torre Colonos Sur
8730 USD (Online)
10230 USD (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-09-01 09:30
21 hours
Buenos Aires - Laminar Catalinas
8730 USD (Online)
10230 USD (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-09-15 09:30
21 hours
Buenos Aires - Libertador
8730 USD (Online)
10230 USD (Classroom)

Machine Learning for Data Science with Python

2026-09-29 09:30
21 hours
Puerto Madero - Torre Colonos Sur
8730 USD (Online)
10230 USD (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-10-13 09:30
21 hours
Buenos Aires - Laminar Catalinas
8730 USD (Online)
10230 USD (Classroom)

Other regions in Argentina

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These courses are also available in other countries

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