Data science and Data preparation with KNIME

KNIME - a powerful tool for data science and machine learning Data science with higher efficiency. KNIME data cleaning

4.85 (250 reviews)

Udemy

platform

English

language

Data Science

What you will learn

New job opportunities might open up for you

You might be able to increase your productivity and save time in your data preparation tasks

Hopefully a higher efficiency in data preparation and data science related work

What kind of loops are available and how to use them in KNIME

Examples of data science machine learning workflows with KNIME

Enhance your basic KNIME skills already acquired ( for example in my KNIME crash course on udemy)

How to use Python in KNIME (Java and R could also be used but will not be the focus here)

How to do DataScience in KNIME WITH AND WITHOUT CODING

Why take this course?

Master Data Science, Cleaning, and Preparation with KNIME

Welcome to the world of efficient data preparation, where tedious tasks become a breeze. In the realm of data science and analysis, one thing is certain: data cleaning, preprocessing, or whatever you choose to call it, can be a time-consuming ordeal.

Efficiency at Your Fingertips

How can we expedite this process and work smarter, not harder? The answer lies in tools that not only accelerate the process but also reduce the need for excessive coding.

Meet KNIME - Your Data Ally

KNIME is the hero of the day. It offers a user-friendly, drag-and-drop interface that simplifies data preparation and cleaning. No coding experience required, though you have the option to unleash the power of R, Python, or Java if you wish. KNIME's flexibility knows no bounds. You can even venture into Data Science, including machine learning and AI, with or without coding.

Did We Mention It's FREE?

You read that correctly. KNIME Desktop won't cost you a dime. It's a robust tool that won't dent your budget.

Elevate Your KNIME Skills

This course follows our introductory KNIME class, "KNIME - A Crash Course for Beginners," also available on Udemy. In this second installment, we delve deeper into advanced topics.

What's Inside the Course

We skip the basics here (like the interface, basic data import, and filter nodes). If you're new to KNIME or need a refresher, consider exploring our first class, where we cover the fundamentals in a captivating case study.

In this class, we explore:

Efficient methods to import multiple files into KNIME
The power of loops
Web scraping techniques
Scripting using Python within KNIME
Hyperparameter optimization
Feature selection
Basic machine learning workflows and essential KNIME nodes

If efficiency and diving deep into data science and preparation sound appealing to you, then let's embark on this journey together!

Are you ready to elevate your data skills?

Screenshots

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Reviews

Thaer

September 21, 2023

Clear, easy to track the steps. Smart style of material explanations. Easy steps on how to use the tools.

Roy

May 2, 2023

More extensive notes would be helpful for study and later recall. One issue is that there seem to KNIME modules for everything - some overall map would be helpful. But, overall, very well explained.

Ulrich

January 3, 2023

Content is good. Talkin' way too fast. Lots of slips of the tongue. The subtitles are crap, most of the time they are far away from what was said. Because of the content I give 4 stars

David

December 23, 2022

This is one of several of Dan's KNIME courses I have taken. I am learning a lot and having a great time with the courses.

Fontaine

July 12, 2022

Oui cours très intéressant. Mais la personne parle trop vite et on a pas le temps forcément de tout comprendre. Nous sommes obligés de revenir souvent en arrière.

Carlos

June 7, 2022

At the very start of the course your topics are clear but sometimes you talk too fast. When you get to the machine learning topics the things get worse, you never take a minute or two to explain what each node is for and even you still talk too fast, you can't even commit too many mistakes for that rush you're taking for no reason.

Jeremy

September 15, 2021

Very good demonstration of various methods of running loops, handling different data formats and making requests from the web

Ricardo

June 10, 2021

Es un buen curso aunque muy breve, te ayuda a utilizar varios nodos y enfrentar varios desafíos que sí o sí se te presentarán a lo largo de tus proyectos de análisis de datos, lo que mas me gusto es el uso de varios loops que ayudan mucho para los problemas de recursión. Although the course is short, it contain very upfull hitns to solve many problems that you will find in your own projects, I apreciate a lot the use of loop types.

Juan

September 11, 2020

Curso fantástico. Me está sirviendo para comprender definitivamente el uso de los bucles , operaciones básicas que se hacen de forma más eficiente , e identificar nodos que hasta ahora no usaba. La parte final de modelos se recorre demasiado rápida. No tiene tal vez la profundidad estadística que algunos podrían esperar. Es una enseñanza más "mecánica" del proceso de armado.

Bruno

July 10, 2020

Great course. I was able to apply several features of Knime in my work thanks to this course. As feedback I would like the instructor to speak a little slower, it is not a big problem but it helps to follow the lessons better.

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