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KNIME Fundamentals Expand Excellence
Rating: 4.7 out of 5(28 ratings)
172 students

KNIME Fundamentals Expand Excellence

KNIME Masterclass ETL with KNIME KNIME for Data Prep Introduction to KNIME KNIME Training for beginners
Created byDan We
Last updated 3/2025
English

What you'll learn

  • You extend your current KNIME skills
  • You can build more powerful and efficient workflows in KNIME
  • You will enjoy your ETL tasks much more using KNIME
  • You learn KNIME fundamentals not covered in detail in my other KNIME courses on udemy

Course content

1 section • 19 lectures • 2h 53m total length

  • 1 Introduction to the course1:16
  • Download the course resources here0:06
  • 3 KNIME Workflow Automation Time or Event Trigger16:08

    Build a KNIME workflow that reads flat files and creates a country and product pivot with totals. Export a PDF report and automate via a wait node for time events.

  • 4 Knime Workflow Automation Excecution Time and Workflow Bottlenecks4:11
  • 5 KNIME terminate workflow with loops with breakpoint16:12
  • 6 IF Conditions in KNIME including Flow Variables14:13

    KNIME's if switch and end illustrate how to route data with conditional filtering, control active ports via flow variables and single selection configurations, and tailor workflows.

  • 7 Case Conditions in KNIME including Flow Variables17:57

    Explore seven KNIME case switch conditions, including data, model, and variable cases; configure ports, apply single selection and flow variables, and generate pivoted, grouped sales reports.

  • 8 Handling no data in KNIME10:41
  • 9 Error Handling with Try Catch Nodes in KNIME7:28
  • 10 Excourse Java IF Switch with KNIME an Introduction6:18
  • 11 KNIME Error Handling for API requests13:25

    Learn to handle API request errors in KNIME by using try catch with get requests, validating URLs from a data table, and looping with an ultimate result for failures.

  • 12 Workflow interaction invoke another workflow in KNIME9:50
  • 13 Databases in KNIME an Introduction10:55
  • 14 Databases in KNIME Create Database Tables9:56
  • 15 Database Operations in KNIME8:53
  • 16 Database Operations in KNIME part 210:58
  • 20 KNIME Flexibility 3 Ways to filter your nominal data13:53
  • Congratulations, thanks a lot and one favor to ask0:21
  • You want to learn more? Lets do it together0:55

Requirements

  • You have already attended the KNIME a crash course for beginners course or similar knowledge
  • No coding required
  • KNIME can be downloaded for free

Description

KNIME Masterclass - Expand Excellence

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.


Hi guys and welcome back


In this course we build on our knowledge from the KNIME - a crash course for beginners class. So I assume you have worked with KNIME before as we do not cover all the basics. So if you are completely new to KNIME then please start with the crash course for beginners class!


Here we want to extend our skills and dive into topics like

-Workflow Controls (If conditions, switches…)

-Workflow automation (Time triggers)

-Workflow error handling

-Introduction to databases in KNIME (database included!)

-Other helpful nodes and sample workflows


All resources are included and can be downloaded from the resource section. KNIME (as you probably know) can be downloaded for free.

This is a hands-on course, so I expect you to “data prep” along with me!

If that does not sound like fun, then what? So, if that is interesting to you then let’s get started!

Are you ready? 





Who this course is for:

  • You have already attended the KNIME a crash course for beginners course or similar knowledge
  • You have some prior knowledge in KNIME (how to get started is not covered here!)
  • You want to become better with KNIME
  • (Aspiring) data scientists
  • (Aspiring) data analysts
  • You encountered various data issues (e.g. format,...) in the past and are looking for a solid solution
  • Data analyts and data scientists who want to work smarter faster and more efficient without coding

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