Data Transformation in KNIME
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Learn to split, filter, calculate, merge and sort tables in KNIME, then turn workflow parts into reusable components you can share.
Data Transformation in KNIME works through reshaping tables inside KNIME workflows. You break combined cell values into separate columns, apply rules with conditional logic, and build new columns with string and math formulas. Later lessons join columns across several tables, sort the results, and package parts of a workflow as components that can be shared on the KNIME Community Hub.
What You Will Achieve
- Separate combined cell values and assign values such as discount percentages with conditional rules
- Calculate bills, scores, discounts and profit in new columns built from formulas
- Consolidate data from multiple tables into one sorted, well-organized dataset
- Package workflow segments as reusable components and publish them to the KNIME Community Hub
Program Overview
Conditional Statements and Column Cleanup
Rule-based changes to a dataset, with splitting and renaming that keep columns manageable and easy to read.
- Splitting columns based on cell values
- Conditional statements for rule-based changes
- Logical operators in filter conditions
- Renaming one or several columns
String and Math Expressions
Expression-based transformations that create custom columns through text manipulation, numeric formulas and combinations of both.
- String expressions for text manipulation
- Mathematical formulas and operators
- Mixed expressions in custom columns
- Converting a sales column to numeric
Data Integration, Components, and Sharing
Combining tables into one layout, then documenting, bundling and publishing the workflow for others to reuse.
- Appending and merging columns from several tables
- Constant value columns, reordering and sorting
- Workflow descriptions, tags and reusable components
- Sharing on the KNIME Community Hub
Certificate Awarded (Paid)
Complete the course to earn it.
Job Outlook
Data preparation in KNIME supports business intelligence and analysis work, where tables from several sources must be cleaned, combined and shaped before reporting.
Good for: People preparing business data in KNIME who want hands-on exercises in rule-based columns, formulas, merges and reusable components.
Keep in mind: The lessons help with preparation for KNIME’s official certification exam, but that exam is separate; completing the course earns a certificate of completion only.
Bottom line: Short exercises on sales, student and food data walk through the routine table work of a KNIME workflow and end with a shareable component.
Frequently Asked Questions
Does this course prepare me for the KNIME certification exam?
The lessons build skills that help with preparation for KNIME's official certification exam, but that exam is separate and taken outside the course. Finishing the lessons earns a certificate of completion, not the KNIME certification itself.
Which tables do the KNIME exercises transform?
The exercises work with business and school tables: item bills, sales figures, food prices, discounts, inflation values and student records. Each task applies one transformation, such as converting a sales column to numbers or calculating profit.
What does the course teach about KNIME components?
The last chapter shows how to add descriptions and tags to a workflow, wrap a segment of it as a reusable component that bundles its functionality, and add visual elements for easier use. The component and workflow are then shared on the KNIME Community Hub.
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