Technologies / Data & Analytics

KNIME - Analytics Platform Training

Advanced training on the KNIME Analytics platform, focusing on utilizing its full potential in the data analytics area. During intensive workshops, participants will explore advanced data processing techniques, machine learning, and creating extensive analytical workflows. The program combines theory with practice, enabling participants to independently solve complex analytical problems.

Why choose this training?

Modern organizations increasingly need specialists, technical competencies have become a critical asset. Advanced training on the KNIME Analytics platform, focusing on utilizing its full potential in the data analytics area.

Upon completion, participants will be able to: Advanced knowledge of KNIME platform capabilities, Ability to create complex analytical solutions, Knowledge of machine learning techniques in KNIME, Ability to integrate with other analytical tools. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Data analysts with experience in basic analytics, Data Science specialists, Data engineers.

What makes our approach unique?

At EITT, we believe the best learning happens through practice. Over 5 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

This training is part of the path:

Data Analyst

Benefits

Advanced knowledge of KNIME platform capabilities
Ability to create complex analytical solutions
Knowledge of machine learning techniques in KNIME
Ability to integrate with other analytical tools
Ability to optimize and automate processes
Knowledge of best practices in Data Science projects

Who is this training for?

Data analysts with experience in basic analytics

Data Science specialists

Data engineers

Analytical solution architects

R&D department employees

Researchers working with data

Machine learning specialists

Prerequisites

Experience in basic work with KNIME
Knowledge of machine learning fundamentals
Basic programming knowledge
Experience in analytical projects

Training program

Handling unstructured data
Sampling and validation techniques
Data flow optimization
Machine Learning in KNIME
Classification and regression algorithms

Model validation and evaluation
Hyperparameter optimization
Integration and Extending Functionality
Integration with R and Python
Creating custom nodes
APIs and web services

Deployment and Automation

Model deployment

Performance monitoring
Advanced Applications
Text analysis and NLP

Time series analysis
Deep Learning in KNIME

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

For KNIME - Analytics Platform Training we recommend: Experience in basic work with KNIME; Knowledge of machine learning fundamentals; Basic programming knowledge.

What is the format and duration of this training?

The training lasts 5 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts with experience in basic analytics; Data Science specialists; Data engineers.