KNIME data cleaning challenges
The world of today and tomorrow is mainly driven by data. Companies need people with skills in data preparation and extraction.
Let us face it. Data is everywhere but it is messy. We spend hours and hours cleaning it using various tools (Excel, Python, R, …)

What about spending less time, using a tool which requires no coding (allows it but does not require it!), which is fun to work with and has incredible data cleaning capabilities? That means, more fun and working faster!
This course is hands on and gives you the chance to learn and increase your skills in KNIME by facing data cleaning challenges
No matter if you are a business user working with data, a business user, a data analyst, data scientist or data engineer, KNIME is the right tool for you.

In this course we tackle various data cleaning examples and solve them together. The course was requested by students who wanted to see more hands on data challenges and assumes you have used KNIME before.
The goal is to learn KNIME nodes and concepts which can be transfered to your own data cleaning challenges.

If you have no prior knowledge then I highly recommend to take my beginners course “KNIME a crash course for beginners” first. There you learn all the basics in a complete case study to get you up to speed. Based on this knowledge you can improve your skills with this and my other KNIME courses you find here.

I am convinced the course content provides value and will help you in your daily work and / or future career in our data driven world.
Are you ready? Then let us go!

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SKILLS YOU WILL GAIN
You Will Gain KNIME skills
You Will gain Analytical Thinking skills
WHAT YOU WILL LEARN
You Will Learn Efficient data cleaning with KNIME
You Will Learn How to use KNIME to solve data preparation tasks