KNIME – a crash course for beginners
KNIME - a crash course for beginners
Learn data cleaning with KNIME in a case study the fun and easy way. How to do advanced data preparation with KNIME
Product Brand: Udemy
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Udemy Coupon Code for KNIME – a crash course for beginners. Learn data cleaning with KNIME in a case study the fun and easy way. How to do advanced data preparation with KNIME
Created by Dan We | 9 hours on-demand video course
KNIME Course Overview
KNIME – a crash course for beginners
Master Data Preparation Without Coding Hassles! Are you eager to dive into the world of data preparation without the complexities of coding? Welcome to our KNIME Masterclass, a specially designed course for beginners. Simplify Data Prep with KNIME. We understand that data cleaning can be overwhelming, especially when time is tight. But don’t worry, KNIME is here to make the process effortless! No Coding Required – Just Your Creativity!
KNIME’s intuitive drag-and-drop interface allows you to clean and transform data with ease. You don’t need any prior coding experience, although you have the option to use R, Python, or Java if you prefer. KNIME offers the flexibility to suit your needs.
What you’ll learn
- New job opportunities knock on your door
- 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
- You learn how to use Machine Learning / AI predictive analytics capabilites of knime (an introduction)
- All this is done by solving a funny and interesting case study
- Improve your skills and job possibilites
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Who this course is for
- (Aspiring) data scientists
- (Aspiring) data analysts
- This course is practical and consists of a case study where you can and should follow along to solve tasks
- You want to learn how to effectively clean your data
- 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
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Taught by Dan We
