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Introduction to KNIME

BasicSkill Level
4.8+
500 reviews
Updated 11/2025
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.
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KNIMEData Preparation3 hr9 videos25 Exercises2,000 XP7,540Statement of Accomplishment

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Course Description

Introduction to KNIME Analytics Platform

This course introduces you to the KNIME Analytics Platform, a no-code/low-code tool that streamlines data operations. With KNIME’s drag-and-drop interface, you’ll create workflows to automate data blending, transformation, and analysis, making it accessible to users of all skill levels. By the end, you can perform data analysis without writing code.

Building and Managing Workflows

Learn how to build workflows from scratch using KNIME’s visual programming tools. This section covers everything from data access—importing files and querying databases—to data cleaning, where you’ll handle missing values, remove duplicates, and prepare data for analysis. With these skills, you’ll create efficient end-to-end workflows that handle data preparation and manipulation.

Data Analysis and Aggregation

Apply the knowledge you’ve gained to analyze and summarize data. You’ll merge cleaned datasets and use aggregation techniques to answer key questions. By the end, you'll be confident in using KNIME to perform data analysis and extract valuable insights from your data.

Prerequisites

There are no prerequisites for this course
1

First steps into KNIME Analytics Platform

In this chapter, you will get a first touch of KNIME Analytics Platform, a no-code/low-code tool that lets you handle various data tasks with visual programming. You will create your first KNIME workflow and produce a simple data analysis.
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2

Data access

Now that you have created your first end-to-end workflow, let's do a step back and dig deeper into the very first step of any data analysis: data access. In this chapter, you will learn the different ways to read a file stored on your computer or somewhere else and how to build a database query without writing it.
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3

Data Cleaning

After accessing the data, in this chapter you will do the dirty job of cleaning the data for the HR department. You will remove unnecessary or duplicated data, handle missing values, remove characters from strings and convert data types. After all this job, the data will be ready for analysis!
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4

Data analysis

Time to put things together! In this chapter you will merge the data that you have accessed and cleaned and will aggregate it to answer some questions for the HR department.
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Introduction to KNIME
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FAQs

What is the KNIME Analytics Platform?

KNIME Analytics Platform is an open-source platform for data analytics that uses a no-code/low-code interface to simplify data processing, analysis, and machine learning.

Is KNIME suitable for beginners?

Yes, KNIME is suitable for beginners. Its no-code/low-code interface makes it easy to use, even without programming skills.

What will I learn in this course?

In this course, you will learn how to use the KNIME Analytics Platform to create workflows, access and clean data, and perform data analysis. You'll explore KNIME’s no-code/low-code interface to handle tasks like data transformation, blending, and aggregation, making data analysis more efficient and accessible.

Is there any hands-on practice?

Yes, the course includes practical exercises where you will build workflows, access and clean data, as well as perform data analysis tasks using KNIME’s tools.

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