What you'll 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
- You increase your productivity
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?
