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Course

Data Manipulation in KNIME

Basic3 hr

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Python3 hr9 videos26 Exercises2,150 XP1,269Statement of accomplishment

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Course Description

Automate and simplify your data workflows

In today’s fast-paced world, data professionals need tools to automate repetitive tasks and handle diverse datasets efficiently. KNIME provides a no-code platform to transform, analyze, and manage data seamlessly. This course is designed to empower you with practical KNIME skills, from basic data merging to advanced database operations, enabling you to enhance productivity and accuracy.


<h2>Master data merging and aggregation</h2>
<p>Start your journey by learning to merge datasets using concatenation, lookups, and joins. You’ll build workflows that ensure consistent and accurate data handling. Progress to aggregation techniques like pivots and groupings, unlocking valuable insights by restructuring and summarizing your data.</p>
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<h2>Streamline file handling and database management</h2>
<p>Dive into advanced data input and output workflows, including importing multiple files, automating file management with Utility nodes, and writing data in formats like Excel, CSV, and KNIME-native .table. Discover the power of database-level operations, such as filtering and joining, to process data with speed and precision.</p>
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<h2>Build confidence in data automation</h2>
<p>By the end of this course, you will advance your KNIME skills to confidently automate workflows, streamline data processes, and tackle complex datasets effectively. Whether you’re an analyst, citizen data scientist, or data engineer, this course provides the skills to boost productivity and easily uncover insights.</p>  

Prerequisites

Curriculum

Course outline

1

Concatenation, Lookups, and Joins

Combine datasets using KNIME’s merging techniques, which include concatenation, lookups, and joins. These methods reduce manual errors and ensure consistent data preparation. You will learn to automate these workflows, saving time and effort.
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2

Introduction to Aggregating and Pivoting

Master aggregation and pivoting to summarize and restructure data for deeper insights. Explore advanced tools to manage multiple files, automate processes, and handle large datasets.
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4

Introduction to Database Operations

Use database operations to filter, join, and update data at the source to ensure speed and accuracy. Optimize your workflows, and keep your data ready for analysis and reporting.
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Data Manipulation in KNIME

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