KNIME Training and Certification in Madrid

KNIME Training and Certification in Madrid, Spain

The course covers how to create data workflows by integrating various data sources, preprocessing data, and applying statistical or machine learning models.

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KNIME Training and Certification is a professional training program delivered by ProgNXT in Madrid, Spain. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this KNIME Training and Certification course with hands-on, instructor-led sessions. KNIME training offers participants a comprehensive understanding of data analytics and machine learning using the KNIME Analytics Platform. The...

Expert Panel

Designed and delivered by the ProgNXT Data Analysis Expert Panel — a vetted team of industry professionals with 12+ years of hands-on experience in Excel, SQL, Python, Tableau, and Power BI

ProgNXT Data Analysis Expert Panel

Course Code: PRQ66
14 Hrs
Last Updated: April 2026

Course Rating5/5

KNIME training offers participants a comprehensive understanding of data analytics and machine learning using the KNIME Analytics Platform. The course covers how to create data workflows by integrating various data sources, preprocessing data, and applying statistical or machine learning models. Participants will learn to utilize KNIME's visual interface to design and execute analytical pipelines without needing extensive coding skills. The training also explores advanced topics such as text mining, time series analysis, and integrating KNIME with other tools like Python, R, and big data platforms. By the end of the training, learners will be proficient in leveraging KNIME to process complex datasets and generate actionable insights for business and research purposes.

Basic understanding of data analysis concepts.
Familiarity with general data processing workflows (optional).
No prior experience with KNIME is necessary.

Upon completion of this course, participants will:

Understand the KNIME platform and its key features for data analytics and integration.
Learn how to build data workflows, perform data transformations, and utilize KNIME’s built-in analytics tools.
Gain experience in connecting to various data sources and integrating them into KNIME workflows.
Develop the ability to perform data analysis and visualize results using KNIME’s user-friendly interface.

KNIME Workflow Design: Ability to design and implement data workflows in KNIME.
Data Preprocessing: Skills to clean, transform, and preprocess data using KNIME nodes.
Data Analytics: Knowledge of applying data analysis techniques using KNIME’s native analytics tools.
Data Integration: Proficiency in integrating data from various sources (databases, spreadsheets, etc.).
Visualization and Reporting: Ability to generate visualizations and reports from data analysis results.

Participants will be assessed on:

Workflow Design: Creation and implementation of KNIME workflows.
Data Transformation: Performing data cleaning, preprocessing, and transformations.
Analytics Application: Using KNIME’s built-in analytics tools effectively.
Visualization: Designing and configuring data visualizations in KNIME.
Data Integration: Connecting KNIME to various data sources for analysis.

Certificate of Completion: Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion for KNIME Platform Training.

Introduction to KNIME and Data Workflow Design

Introduction to KNIME

Overview of KNIME and its capabilities for data analytics.
Key components of the KNIME platform: Workflow, Nodes, and Views.
Setting up KNIME on your system and understanding its interface.
Hands-on Exercise

Creating Data Workflows in KNIME

Understanding the concept of workflows and nodes in KNIME.
Basic workflow design: Connecting nodes and executing tasks.
Hands-on Exercise

Data Preprocessing with KNIME

Cleaning and transforming data: Filtering, sorting, and handling missing values.
Using KNIME’s data manipulation nodes: String manipulations, column filtering, etc.
Hands-on Exercise

Data Transformation Techniques

Aggregating, pivoting, and reshaping data with KNIME nodes.
Exploring data transformations using advanced nodes like “GroupBy” and “Joiner”.
Hands-on Exercise

Advanced Data Analytics, Integration, and Visualization

Integrating Data Sources in KNIME

Connecting KNIME to various data sources (databases, CSV files, Excel, etc.).
Importing and exporting data using appropriate nodes.
Hands-on Exercise

Advanced Analytics in KNIME

Utilizing KNIME’s machine learning, statistical, and clustering nodes.
Exploring data analysis techniques like decision trees, regression, and clustering.
Hands-on Exercise

Data Visualization and Reporting in KNIME

Creating visualizations using KNIME’s built-in plotting and charting tools.
Generating reports with the KNIME Reporting functionality.
Hands-on Exercise

KNIME Workflow Optimization and Best Practices

Optimizing workflow performance and managing large datasets.
Best practices for designing efficient workflows in KNIME.
Hands-on Exercise

KNIME documentation and user guides.
Sample datasets and pre-configured workflows for hands-on exercises.
Access to online resources for further learning.

Evaluation based on hands-on exercises and participation.
ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

KNIME Training and Certification Events in madrid

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

28th Oct 2026→29th Oct 2026

November 2026

🌐 Online Instructor-Led

3rd Nov 2026→4th Nov 2026

📍 Madrid, Spain

7th Nov 2026→8th Nov 2026

🌐 Online Instructor-Led

18th Nov 2026→19th Nov 2026

📍 Madrid, Spain

23rd Nov 2026→24th Nov 2026

December 2026

📍 Madrid, Spain

4th Dec 2026→5th Dec 2026

🌐 Online Instructor-Led

8th Dec 2026→9th Dec 2026

🌐 Online Instructor-Led

19th Dec 2026→20th Dec 2026

📍 Madrid, Spain

24th Dec 2026→25th Dec 2026

Events for other courses in Madrid, Spain

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KNIME Training and Certification in Madrid