GETTING STARTED | DATA LITERACY | KNIME ANALYTICS PLATFORM
KNIME Snippets (4) — Start to Learn KNIME
Get your data science journey started with KNIME — free, open-source, no-code/low-code
There is a ton of material out there about how to start with the low-code Data Analytics Platform KNIME and learn Data Science, Machine Learning and so on. Also KNIME has structured its learning offerings in a meaningful way. Nonetheless, I want to provide you with my own small collection of paths that I think would guide you right into the world of the KNIME Analytics Platform.
If you just have one minute and no idea what KNIME is you can watch:
“KNIME #Shorts — KNIME Analytics Platform”
KNIME Getting Started Guide
If you want to read a more extensive article also about the why of KNIME you can read “The Best kept Secret in Data Science is KNIME” or if you speak German “KNIME Einführung — einige High Lights”.
An overview about what KNIME is and how to start is in this “Getting Started Guide”:
Or you can see a small collection of YouTube videos to give you an idea.
“Intro to KNIME Analytics Platform Version 5”:
KNIME Courses — Learning Paths
The various paths that are available to learn for different roles in KNIME like Data Scientist or Data Engineer is here in the Learning Center:
You will then find the mentioned self-paced courses here:
https://knime.learnupon.com (log in with your KNIME account)
If you then want to test your (new) skills or you already know some KNIME you can use the “Starter collection” on the KNIME Community Hub (the place where you will find useful example workflows of all kind).
KNIME Version 5 — video collection
KNIME has also provided collections of videos summing up the most important aspects of the software on their YouTube channel.
- L1 — Data Literacy with KNIME Analytics Platform: Basics
- L2 — Advanced Functionality of KNIME Analytics Platform
- Material for Version 5 on the KNIME Hub “Courses”
KNIME Version 4 — video collection
- L1 for KNIME Version 4
- L2 for KNIME Version 4 (also covering the basics of Machine-Learning)
- Material for Version 4 on the KNIME Hub “Self-Paced Courses”
Further useful workflow examples are from KNIME video courses
“Educational Videos Demo Workflows”
KNIME Press — Books
And if you want to explore more there is a broad collection of books. Also if you already know a platform like Excel (plus Videos in English and German), Alteryx (there also is now a video), SPPS or SAS and want to use KNIME. Most of them are free, so explore!
Overview about further Learning Paths
This article tried to also sum up further learning options based on your preferences for channels like books, blogs or videos
KNIME and Machine-Learning
If you are specifically interested in Machine-Learning you will find a lot of resources and discussions here:
And finally if you want to know more you can always just ask on the
KNIME Forum (https://forum.knime.com/).
If you want to read more KNIME Snippets — here is the collection:
In case you enjoyed this story you can follow me on Medium (https://medium.com/@mlxl) or on the KNIME Community Hub (https://hub.knime.com/mlauber71) or KNIME Forum (https://forum.knime.com/u/mlauber71/summary).
