_how_to_learn_knime

How to learn KNIME online - fast

If you want to set out and learn KNIME the first question is how much experience you have and what type of learning you prefer.
- Some people like to study books (BOOK),
- some like online self-taught courses and articles (SELF),
- some like video instructions (VIDEO) and
- some like in-person seminars with live tutors (LIVE).

So if you want a guided step by step introduction into KNIME this maybe is the place to start

Then there are the self-paced courses where you would learn yourself step by step (SELF)
https://www.knime.com/knime-self-paced-courses

They now have been consolidated on a new learning platform:
https://knime.learnupon.com
https://knime.learnupon.com/catalog/courses

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If you are looking for some general insights into KNIME and what it can do, take a look at this collection:

[kn_meta] KNIME - the hub, the server and general praise and remarks
https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_server_hub_general_praise?u=mlauber71

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Here is an overview of several KNIME courses and resources in the form of a sort of interview to help you NAVIGATE the learning options

Get on Board and Navigate the Learning Options at KNIME
https://www.knime.com/blog/get-on-board-and-navigate-the-learning-options-at-knime

Also the Learning hub tries to give an overview although it might be a little overwhelming at some points (SELF):
https://www.knime.com/learning

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If you are into reading books. KNIME has a collection of publications on https://www.knime.com/knimepress out like "Beginner's luck" (BOOK):
https://www.knime.com/knimepress/beginners-luck

And (free) books specifically addressing people coming from other programs Excel to KNIME (BOOK)
https://www.knime.com/knimepress/download-from-excel-to-knime

VIDEO - First Steps into KNIME Analytics Platforms for Excel Users (ENG)
https://www.youtube.com/watch?v=pyulPrrOYNM

And KNIME has its own YouTube channel where you will find more (VIDEO)
https://www.youtube.com/user/KNIMETV

If you like in-person courses they are offered online and in person (LIVE).
You would have to check for time slots
https://www.knime.com/courses

(the material if offered online)
https://hub.knime.com/knime/spaces/Education/latest/Courses/

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If you are more experienced with analytic tools and want to dive right into it:

If you just want to get a quick overview about KNIME and its capabilities (SELF)
For a quick overview there is a CHEAT-SHEET
https://www.knime.com/learning/cheatsheets

KNIME Getting Started Guide (SELF)
https://www.knime.com/getting-started-guide

Along with the full documentation covering several topics (SELF)
https://docs.knime.com/

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And then of course there are tons of examples in the KNIME forum (https://forum.knime.com/) and on the KNIME hub (https://hub.knime.com/) where people have solved a lot of problems one might have and give working examples and advice. And part of KNIME is the great community, so do not hesitate to ask.

And finally if you want to study quite advanced examples there is the White Paper section where experienced KNIME users describe in detail some of their more interesting projects and also give you the workflows
https://www.knime.com/white-papers

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Meta Collection of KNIME capabilities

If you want to explore the possibilities of KNIME further I have compiles several lists of meta collections to articles and examples on the KNIME hub about several topics that come up frequently in the forum and in my conversations with users:

[kn_meta] A meta collection about KNIME and performance and performance tuning
https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_performance_and_tuning?u=mlauber71

[kn_meta] Machine Learning Meta Collection (with KNIME)
https://hub.knime.com/mlauber71/spaces/Public/latest/_machine_learning_meta_collection?u=mlauber71

[kn_meta] Import CSV - a meta workflow trying to answer questions about importing data from CSV and Text files
https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_csv_import_meta_workflow

[kn_meta] Import EXCEL - a meta workflow trying to answer questions about importing data from Excel files
https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_excel_import_meta_workflow?u=mlauber71

[kn_meta] A meta collection and article about R and KNIME installation
https://hub.knime.com/mlauber71/spaces/Public/latest/_r_installation_on_knime_collection?u=mlauber71

[kn_meta] A meta collection of KNIME and database related issues, dealing with basic SQL as well as Big Data related workflows with Hive/Impala and Spark (including PySpark)
https://hub.knime.com/mlauber71/spaces/Public/latest/_db_sql_bigdata_hive_spark_meta_collection?u=mlauber71

[kn_meta] A meta collection about handling date and time functions in KNIME, R and SQL (including big data systems)
https://hub.knime.com/mlauber71/spaces/Public/latest/_date_time_formats_meta_collection?u=mlauber71

[kn_meta] Meta collection about KNIME and Text analytics and Text mining
https://hub.knime.com/mlauber71/spaces/Public/latest/_text_analytics_and_knime_meta_collection?u=mlauber71

[kn_meta] KNIME - address deduplication, string similarity and fingerprinting (a collection)
https://hub.knime.com/mlauber71/spaces/Public/latest/_adress_dedupe_string_similarity?u=mlauber71

[kn_meta] Meta Collection about KNIME and Python
https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_and_python_meta_collection?u=mlauber71

[kn_meta] A meta collection about Loops, Paths and Flow Variables in KNIME
https://hub.knime.com/mlauber71/spaces/Public/latest/_loops_and_flow_variables_knime?u=mlauber71

[kn_meta] Meta Collection about KNIME and Java
https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_and_java_meta_collection?u=mlauber71

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KNIME and Batch execution
https://forum.knime.com/t/decent-documentation-for-command-line-execution-with-variables/31680?u=mlauber71
https://www.nuwavesolutions.com/batch-execution-of-knime-workflows-part-2/
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And one very useful guide to understand how things do work with and within KNIME ist the:

KNIME File Handling Guide
https://docs.knime.com/latest/analytics_platform_file_handling_guide/index.html

You will learn about paths, knime-protocol and URLs - a bit technical but absolute basic stuff once you really start working with KNIME

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