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.

KNIME Analytics Platform

Quiz Quest

The user interface of KNIME Analytics Platform

Read the data from HR

Clean sweep

Plot it out

First steps into KNIME Analytics Platform

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.

Data Access

Options

File in local file system

File in remote file system

Databases

Access your knowledge

Accessing data in KNIME Analytics Platform

Browse and read a local file

Bulk read 20 files at once

Query DB without querying

Data access

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!

Data Cleaning

Dust off your data cleaning skills

Cleaning data in KNIME Analytics Platform

Filter data

Handle missing values

Clean strings

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.

Mix and squeeze data

Squeeze your memory

Crunching data in KNIME Analytics Platform

Look it up

Get some numbers

Breadcrumbs and wrap up

Congratulations!

Data analysis

Exercises and Datasets

DataCamp vs. Local Experience

KNIME is a free and open-source data science and analytics platform with an intuitive interface where you can build visual workflows to make sense of your data. Companies worldwide use KNIME to automate repetitive tasks and build and deploy machine learning models. In this course, you learn how to read and merge data from multiple sources and transform and aggregate your data to make sense of the use case without coding if you do not want to. Start your KNIME no code/ low code data upskilling journey now.

<h2>Introduction to KNIME Analytics Platform</h2>  
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.<br><br>

<h2>Building and Managing Workflows</h2>  
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.<br><br>

<h2>Data Analysis and Aggregation</h2>  
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.<br><br>

Master the KNIME Analytics Platform with this beginner-friendly course. Learn to access, clean, and analyze data using a no-code/low-code visual interface.

Introduction to KNIME

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

KNIME Fundamentals

Browse and read a local file

Introduction to KNIME

Hands-on interactive exercise