KNIME MasterClass Data Prep Challenges

Name: KNIME MasterClass Data Prep Challenges
Rating: 4.6 (33 reviews)

Master ETL with KNIME by solving data prep challenges. Data Preparation skills for your data analyst scientist career

Created byDan We

Last updated 3/2025

English

English [Auto],

What you'll learn

You improve your KNIME skills by solving data prep challenges
You continue your KNIME learning journey with me together
You can easily prepare your data in advance to visualize it later in tools like Tableau or Power BI (we cover the visualization part briefly as well)
You can do simple to advanced ETL (Extraction - Transformation - Load) without coding
You can clean and shape your data the way you need it

Course content

1 section • 19 lectures • 3h 43m total length

1 Course Intro1:09
Discover KNIME masterclass data prep challenges, guiding you to clean messy input data and shape it, while exploring various data challenges and how to apply notes in practice.
Course resources to download and follow along0:03
2 KNIME Masterclass Challenge - String List to Table19:28
Turn a nested list into a table in KNIME data prep challenge by reading data, splitting lists, and extracting values with regex, then renaming columns to degree, school, field, session.
3 KNIME Masterclass Challenge - Deal Profit breakdown Allocation27:53
Master the KNIME masterclass data prep challenge by distributing each deal's profit across remaining months, using a counting loop, column expressions, and substring-based month extraction.
4 KNIME Masterclass Challenge Replace same Values across multiple Columns11:36
Master the KNIME masterclass challenge of replacing yes and no with 1s and 0s across multiple columns in one batch using unpivot, pivot, and rule engine.
5 KNIME Masterclass Challenge Correct Column Aggregation19:50
Explore how to handle duplicate column names in KNIME masterclass by extracting and grouping headers. Use regex split, column merge, and a loop with column aggregator to compute final sums.
6 KNIME Masterclass Challenge Subgroup Allocation13:10
Master the Knime masterclass data prep challenge by allocating group totals to subgroups using ratios, joins, and group loops. Apply math formulas to compute exact allocated amounts for each subgroup.
7 KNIME Masterclass Challenge Advanced Filter Queries15:05
Master advanced Knime filtering with the table indexer and index query to filter rows by multiple criteria, using and/or logic, wildcards, and range values.
8 KNIME Masterclass Challenge Find current Price13:04
Map a product price by date in Knime masterclass using group loop, roll filter, and biner dictionary search to return the price valid for a specific date.
9 KNIME Masterclass Challenge Grouping Transactions9:32
Learn to group KNIME transactions by date ranges and sum totals per group using a dictionary-based mapping, including data import, biner configuration, and handling missing mappings.
10 KNIME Masterclass Working with XML8:35
Load XML data into KNIME, convert XML to Jason with the XML to Jason node, then convert Jason to table to extract structured values.
11 KNIME Masterclass Challenge Rule Mapping16:08
Map colors to codes in KNIME using a rule engine dictionary with wildcard matches, mapping to codes from the color lookup table.
12 KNIME Masterclass Table reshaping challenge23:36
Learn how to reshape a data set from multiple tables in KNIME into a single wide table using group loop, rule engine, moving aggregation, transpose, and pivoting.
13 KNIME Masterclass Rules and Workflow Timing13:05
Explore KNIME's rule engine dictionary to apply two-column rules and actions across sheets, using criteria from numbers and product lists. Learn to wait for file events to time workflows.
14 KNIME Masterclass Always get latest Files from Folder Tip9:16
knime masterclass shows how to get the latest files from a folder using list files and folders, meta info, and top k selector sorted by last modified or creation date.
15 KNIME Masterclass Identify rows with duplicates Challenge9:16
16 KNIME Masterclass XPATH Nodes to extract data11:06
Explore KNIME masterclass data prep challenges by extracting XML data with XPath nodes. Pull each CD's country code, currency, and price from the catalog using a repeatable workflow.
Congratulations, thanks a lot and one favor to ask0:21
You want to learn more? Lets do it together0:55

Requirements

This course was requested by students and assumes prior knowledge with KNIME
If you have no prior knowledge with KNIME I highly recommend my KNIME - a crash course for beginners course first
no coding required
KNIME can be downloaded for free

Description

KNIME MasterClass Data Prep Challenges

The world of today and tomorrow is mainly driven by data. Companies need people with skills in data preparation and extraction.

This course is hands on and gives you the chance to learn and increase your skills in KNIME (a great tool for data analysis , preparation and data cleaning and data science)

No matter if you are a business user working with data, a data analyst, data scientist or data engineer, KNIME is the right tool for you.

It requires no coding skills and can be used for free!

In this course we tackle various data prep 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.

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's go!

Who this course is for:

Data Analysts
Business Users
Data Scientists
Data Engineers
Everyone else who agrees that data is the main resource for success in the business world of today and the future