KNIME Fundamentals Expand Excellence

KNIME Fundamentals Expand Excellence, available at $59.99, has an average rating of 4.55, with 20 lectures, based on 25 reviews, and has 152 subscribers.

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

Enroll now: KNIME Fundamentals Expand Excellence

Summary

Title: KNIME Fundamentals Expand Excellence

Price: $59.99

Average Rating: 4.55

Number of Lectures: 20

Number of Published Lectures: 19

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 19

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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 beginnersclass. 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? 

Course Curriculum

Chapter 1: KNIME Fundamentals Expande Excellence

Lecture 1: 1 Introduction to the course

Lecture 2: Download the course resources here

Lecture 3: 3 KNIME Workflow Automation Time or Event Trigger

Lecture 4: 4 Knime Workflow Automation Excecution Time and Workflow Bottlenecks

Lecture 5: 5 KNIME terminate workflow with loops with breakpoint

Lecture 6: 6 IF Conditions in KNIME including Flow Variables

Lecture 7: 7 Case Conditions in KNIME including Flow Variables

Lecture 8: 8 Handling no data in KNIME

Lecture 9: 9 Error Handling with Try Catch Nodes in KNIME

Lecture 10: 10 Excourse Java IF Switch with KNIME an Introduction

Lecture 11: 11 KNIME Error Handling for API requests

Lecture 12: 12 Workflow interaction invoke another workflow in KNIME

Lecture 13: 13 Databases in KNIME an Introduction

Lecture 14: 14 Databases in KNIME Create Database Tables

Lecture 15: 15 Database Operations in KNIME

Lecture 16: 16 Database Operations in KNIME part 2

Lecture 17: 20 KNIME Flexibility 3 Ways to filter your nominal data

Lecture 18: 21 Congratulations and final words

Lecture 19: You want to learn more? Lets do it together

Instructors

Dan We
Coach

Rating Distribution

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2 stars: 0 votes

3 stars: 3 votes

4 stars: 4 votes

5 stars: 18 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!