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.

Concatenation, Lookups, and Joins

Concatenate and Lookup tasks

Hands-on data merging in KNIME

Concatenating tables

Lookups with Dictionaries

Joining different data

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.

Introduction to Aggregating and Pivoting

Data aggregation process

Calculate the total sales with Row Aggregator

Aggregate data with GroupBy and Pivot nodes

Simple aggregations

Multi-level aggregations

Complex aggregations

Explore advanced tools to manage multiple files, automate processes, and handle large datasets.

Advanced data reading and writing with KNIME

Choosing the correct file writing node in KNIME

Hands-on advanced data reading and writing

Importing multiple CSV files

Writing data KNIME's .table

Transferring files

Advanced Data Reading and Writing

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.

Introduction to database operations in KNIME

Manipulating data in databases

Hands-on database tasks in KNIME

Connecting to databases

Filtering data in databases

Joining two database tables

Writing back to databases

Congratulations!

Introduction to Database Operations

Exercises and Datasets

DataCamp vs. Local Experience

Are you ready to revolutionize your data workflows and eliminate manual, error-prone tasks? This course is designed for professionals looking to automate data manipulation using KNIME, even without coding experience. You’ll learn to merge and transform data from multiple sources, aggregate insights with pivots, streamline file handling, and interact efficiently with databases. By the end, you’ll have the skills to build powerful workflows that save time, improve accuracy, and boost productivity. Perfect for analysts, citizen data scientists, and anyone who works with data!


<h2>Automate and simplify your data workflows</h2>
    <p>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.</p>
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    <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>
    <br>
    
    <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>  

Data Transformation in KNIME

Streamline data manipulation with KNIME by mastering merging, aggregation, database workflows, advanced file handling, and seamless automation processes.

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

Data Manipulation in KNIME

KNIME Temelleri

Add the Row Aggregator node to the workflow.

Connect the input dataset to the Row Aggregator node input.

In the configuration, select the column for aggregation.

Close the node and execute it to view the results.

Calculate the total sales with Row Aggregator

Data Manipulation in KNIME

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