KNIME – a crash course for beginners

KNIME – a crash course for beginners
Last updated 2023-02-01
Duration: 05:13:57 | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.1 GB

Learn data cleaning with KNIME in a case study the fun and easy way. How to do advanced data preparation with KNIME
What you’ll learn
New job opportunities knock on your door
You extend your data analytics knowledge
You can do simple to advanced ETL (Extraction – Transformation – Load) without coding
You can clean and shape your data the way you need it
You learn how to use Machine Learning / AI predictive analytics capabilites of knime (an introduction)
All this is done by solving a funny and interesting case study
Requirements
No coding required
KNIME can be downloaded for free
Your interest in data preparation and data analytics, visual analytics is key!
Tableau Desktop is optional (but not required)
Microsoft Power BI Desktop is optional (but not required)
Description
KNIME Masterclass – a crashcourse for beginners
A case study the fun and easy way! A great new Data Prep Course awaits you.
Hello everyone hope you are doing fine.
Let’s face it. Data cleaning is always a big hassle, especially if we are short on time and want to deliver crucial data analysis insights to our audience.
But how can we be more efficient in the ETL/ Data Prep process? How can this process be more FUN?
Meet KNIME!
A great tool which comes to our rescue. KNIME allows us to do data preparation / data cleaning in a very appealing drag and drop interface. (No coding experience is required yet it still allows us if we want to use languages like R, Python or Java. So, we can code if we want but don’t have to!). The flexibility of KNIME makes that happen.
And the best: The Desktop version is free!
Finally, we also briefly cover the predictive analytics capabilities of KNIME and see how easy Machine Learning in KNIME can be (again a brief introduction and no coding required!)
Are you ready?

Who this course is for:
(Aspiring) data scientists
(Aspiring) data analysts
This course is practical and consists of a case study where you can and should follow along to solve tasks
You want to learn how to effectively clean your data
More Info