Technologies / Data & Analytics

KNIME Analytics Platform for Business Intelligence

The training introduces participants to the world of business data analysis using the KNIME Analytics platform. During intensive workshops, participants will learn the platform's capabilities for data processing, analysis, and visualization. The program focuses on practical use of the tool in the Business Intelligence context, offering participants the opportunity to independently create analytical workflows.

Why choose this training?

Effective use of modern tools and methodologies, technical competencies have become a critical asset. The training introduces participants to the world of business data analysis using the KNIME Analytics platform. During intensive workshops, participants will learn the platform’s capabilities for data processing, analysis, and visualization.

Upon completion, participants will be able to: Ability to create advanced analytical workflows, Ability to effectively process and analyze data, Knowledge of data visualization techniques in KNIME, Ability to automate analytical processes. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Business analysts starting work with BI tools, Reporting and data analysis specialists, Business Intelligence department employees.

What makes our approach unique?

The EITT approach is based on hands-on experience and practical exercises. Over 3 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.

Benefits

Ability to create advanced analytical workflows
Ability to effectively process and analyze data
Knowledge of data visualization techniques in KNIME
Ability to automate analytical processes
Knowledge of integrating various data sources
Ability to create interactive reports

Who is this training for?

Business analysts starting work with BI tools

Reporting and data analysis specialists

Business Intelligence department employees

Analytical project managers

Business consultants

Data visualization specialists

Prerequisites

Basic knowledge of data analysis
Understanding of basic Business Intelligence concepts
Knowledge of statistical fundamentals
Experience working with business data

Training program

Creating workflows

Basic data transformations
Data Analysis and Processing
Data filtering and aggregation

Data cleaning and preparation

Visualization and Reporting
Creating charts and dashboards
Interactive visualizations
Exporting and sharing results

Advanced BI Functions
Predictive data analysis
Integration with external sources
Workflow optimization
KNIME best practices

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 for Business Intelligence we recommend: Basic knowledge of data analysis; Understanding of basic Business Intelligence concepts; Knowledge of statistical fundamentals.

What is the format and duration of this training?

The training lasts 3 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: Business analysts starting work with BI tools; Reporting and data analysis specialists; Business Intelligence department employees.