Available both online and on-site, our instructor-led live Data Science courses offer hands-on practice to demonstrate how to extract meaningful knowledge from data in various formats.
Data Science training is offered in two formats: "online live training" or "onsite live training." Online live training (also known as "remote live training") is delivered through an interactive remote desktop. Onsite live training can be conducted locally at your customer premises in Athens or at NobleProg corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led, live training in Athens (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:
Understand the concept and benefits of pre-trained models.
Explore various pre-trained model architectures and their use cases.
Fine-tune a pre-trained model for specific tasks.
Implement pre-trained models in simple machine learning projects.
This instructor-led, live training in Athens (online or onsite) is aimed at 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.
This instructor-led, live training in Athens (online or onsite) is designed for 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:
Set up Apache Airflow for machine learning workflow orchestration.
Automate data preprocessing, model training, and validation tasks.
Integrate Airflow with machine learning frameworks and tools.
Deploy machine learning models using automated pipelines.
Monitor and optimize machine learning workflows in production.
This instructor-led live training in Athens (online or in-person) is designed for novice data scientists and IT specialists seeking to grasp the fundamentals of data science via Google Colab.
Upon completion of this training, participants will be capable of:
Spanning 35 hours, this instructor-led curriculum in Athens guides professionals in leveraging Python to construct robust financial applications. The program emphasizes practical skills in data analytics, portfolio strategy, and risk control, blending theoretical insights with intensive practical exercises.
This 35-hour course in Athens provides hands-on training in Data Science and AI using Python. Participants will learn about CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data with Spark. It is perfect for beginners aiming to acquire career-ready analytics skills and obtain a Python data science certification for professional applications.
This instructor-led training in Athens introduces the KNIME Analytics Platform for data-driven innovation. Participants will learn to construct data science scenarios, train and validate models, and implement end-to-end data value chains through hands-on labs and practical exercises.
This instructor-led, live training in Athens (online or onsite) is designed for intermediate-level data analysts, developers, or aspiring data scientists looking to apply machine learning techniques in Python to extract insights, make predictions, and automate data-driven decisions.
By the end of this course, participants will be able to:
Understand and differentiate key machine learning paradigms.
Explore data preprocessing techniques and model evaluation metrics.
Apply machine learning algorithms to solve real-world data problems.
Use Python libraries and Jupyter notebooks for hands-on development.
Build 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
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