Introduction to KNIME

Overview

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

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.

Syllabus

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.

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.

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!

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.