Instructor-led Data Science training courses, available either online or onsite, illustrate through practical exercises how to extract knowledge from data in various formats.
Data Science training is offered as "online live training" or "onsite live training". Online live training (also referred to as "remote live training") is conducted using an interactive remote desktop. Onsite live training can be delivered locally at the customer's premises in Nijmegen or at NobleProg corporate training centers in Nijmegen.
NobleProg -- Your Local Training Provider
Nijmegen
Fifty Two Degrees, Jonkerbosplein 52, Nijmegen, Netherlands, 6534 AB
Located in FiftyTwoDegrees, a striking black tower of 18 floors with a 'kink' in the top that is at an angle and known as an unrivaled business address in the east of the Netherlands. FiftyTwoDegrees is designed as a unique business, cultural and social center and is a combination of high concentration of knowledge companies and well thought-out offices that are grouped around a central square
Wageningen
Wageningen WUR, Stippeneng 2 , Wageningen, netherlands, 6708 WE
Wageningen is located on the banks of the Lower Rhine. Excavations date to the first settlements in this area around the Stone Age. The hills to the east of the city offered protection from floods of the Rhine from the Bronze Age. The city has a turbulent history and has been occupied or destroyed several times. The Rhine also changed course in 1421, moved further south and therefore had an adverse effect on the Wageningen trade. In the 17th century, the city started growing tobacco and there were several cigar manufacturers. The floodplains of the Rhine to the south also had several brickworks, one of which can still be seen.
In 1876, the Dutch government decided to build the first agricultural school in Wageningen because it was in the heart of the country and surrounded by a wide variety of soils. Since then, the city has grown enormously and Wageningen University is now a world-famous Life Sciences university. Wageningen also has an important inland port.
The halls of Impulse
Centrally located on Wageningen Campus, near the De halen van Impulse. The glass building and the cheerful colors provide a welcoming atmosphere. Impulse is an excellent location for not too large symposia or training courses. Impulse is located in building 115 on the Campus.
Address Stippeneng 2
6708 WE Wageningen
Wageningen Campus is indicated at the main roads of Wageningen. Follow the P-route to P3 on the campus. The route is indicated from all large parking spaces to the individual buildings on the campus. Impulse's building number is 115.
Arnhem
Arnhem Park Tower, Nieuwe stationsstraat 20, Arnhem, Netherlands, 6811 KS
The Arnhem Nijmegen region is known as a conference destination and has a thriving food and health sector, thanks in part to the presence of two universities.
The Park Tower is located in a modern building on top of the train station in the center of Arnhem's business district. The railway connects the city to national and international cities. Moreover, Arnhem is close to the German border and is easily accessible due to the many train routes. From the 13th and 14th floors of the city center you have a view over the city and the World Trade Center is right next door.
This instructor-led, live training in Nijmegen (online or onsite) is tailored for beginner-level professionals seeking to understand 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 Nijmegen (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 Nijmegen (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:
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 Nijmegen (online or on-site) 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:
Python has become immensely popular within the financial sector. Utilized by major investment banks and hedge funds, it is employed to construct a diverse array of financial applications, ranging from core trading systems to risk management frameworks.
In this instructor-led live training, participants will learn how to leverage Python to develop practical solutions for various specific finance-related challenges.
By the conclusion of this training, participants will be able to:
Grasp the fundamentals of the Python programming language
Download, install, and maintain the optimal development tools for creating financial applications in Python
Select and employ the most appropriate Python packages and techniques to organize, visualize, and analyze financial data from multiple sources (CSV, Excel, databases, web, etc.)
Construct applications that address issues related to asset allocation, risk analysis, investment performance, and more
Troubleshoot, integrate, deploy, and optimize a Python application
Audience
Developers
Analysts
Quants
Format of the course
A blend of lectures, discussions, exercises, and extensive hands-on practice
Note
This training focuses on providing solutions for key problems encountered by finance professionals. If you have a specific topic, tool, or technique you wish to add or expand upon, please contact us to arrange this.
This course explores practical methodologies for Data Science and AI via Python, empowering professionals with the expertise to analyze data, construct machine learning models, and implement AI-driven applications within business settings. It encompasses CRISP-DM workflows, statistical analysis, supervised and unsupervised learning, deep learning with TensorFlow, natural language processing, big data technologies using Spark, and data-driven storytelling. This program is ideal for beginners aiming to obtain a Python data science certification and receive career-focused analytics training.
The KNIME Analytics Platform stands as a premier open-source solution for driving data-centric innovation. It empowers you to uncover the hidden potential within your data, extract new insights, or forecast future trends. Featuring over 1,000 modules, numerous ready-to-execute examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, the KNIME Analytics Platform serves as the ideal toolkit for data scientists and business analysts alike.
This course on the KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to familiarize themselves with the platform, learn how to utilize it more effectively, and create clear, comprehensive reports based on KNIME workflows.
This instructor-led live training (available online or onsite) is designed for data professionals seeking to leverage KNIME to address complex business challenges.
It is tailored for an audience with no programming background who intend to use cutting-edge tools to implement analytical scenarios.
Upon completion of this training, participants will be able to:
Install and configure KNIME.
Construct Data Science scenarios.
Train, test, and validate models.
Implement the end-to-end value chain for Data Science models.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course or to learn more about this program, please contact us to make arrangements.
This instructor-led live training in Nijmegen (online or onsite) is designed for intermediate-level data analysts, developers, or aspiring data scientists who want to leverage 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
Richard Blewett - Rock Solid Knowledge Ltd
Course - Machine Learning – Data science
Provisional Upcoming Courses (Contact Us For More Information)
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