KNIME Fundamentals

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อัปเดตแล้ว 03/2569

Learn KNIME Analytics Platform and prep for the L1 certification. Gain data preparation, transformation, and visualization skills to build workflows.

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Partner Certification Available

Validate your understanding of the general concepts of the KNIME Analytics Platform, including data access and export, data cleaning and transformation, data merging and aggregation, and data visualization and reporting.

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KNIME Fundamentals

In this track, you’ll learn to use the KNIME Analytics Platform, a powerful tool for data analytics and workflow automation. Designed to align with the L1: Basic Proficiency in the KNIME Analytics Platform certification exam, this track covers essential skills for data preparation, transformation, and visualization. Starting with the basics, you’ll explore KNIME’s visual programming interface, learn to clean and transform data, and create workflows for efficient analysis. Progressing through the track, you’ll tackle practical tasks like merging, aggregating, and visualizing data, preparing you to handle real-world problems. Whether you're new to data or looking to refine your skills, this track provides a complete introduction to KNIME, equipping you with the knowledge and confidence to excel in data management and analysis.

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Course
1
Introduction to KNIME
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.
Course
2
Data Transformation in KNIME
Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.
Course
3
Data Manipulation in KNIME
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Course
4
Data Visualization in KNIME
Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.
Course
5
Case Study: Financial Analysis in KNIME
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.