KNIME Ideas to tackle similar challenges in your own project
Unleash the Power of KNIME for Data Cleaning: A Hands-On Course
Last updated 2/2023
Created by Dan We
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 37m ) | Size: 1.29 GB
What you'll learn
You improve your KNIME skills by solving data cleaning challenges
You can transfer the acquired knowlege to your own challenges
You continue your KNIME learning journey with me together
You learn and apply new KNIME nodes
Requirements
This course was requested by students and assumes prior knowledge with KNIME
If you have no prior knowledge with KNIME I highly recommend my KNIME - a crash course for beginners course first
no coding required
KNIME can be downloaded for free
Description
"Unleash the Power of KNIME for Data Cleaning: A Hands-On Course!Data cleaning is one of the most critical and time-consuming tasks in the data analysis process. But what if you could streamline this process and make it more efficient? That's where KNIME comes in!Do you want to take your data cleaning skills to the next level with KNIME? Look no further! This course is specifically designed to show you the power of KNIME for tackling real-world data cleaning challenges.You'll dive into various data cleaning scenarios using example data and learn how to approach them to find a solution.The main goal of this course is not so much each individual challenge we tackle here but rather improving your skills in transfering what you learn. By the end of the course, you'll have the knowledge and confidence to tackle similar challenges on your own projects.This course assumes some prior knowledge of KNIME and data cleaning. However, the focus is on hands-on examples, so you'll get the chance to apply your existing knowledge and see the benefits of using KNIME for data cleaning. (Note: If you need to learn the basics first then have a look at my beginners class first)So, are you ready to unlock the full potential of KNIME for data cleaning? Enroll now and join me on this exciting journey!"
Who this course is for
Data Analysts
Business Users
Data Scientists
Data Engineers
Homepage
https://www.udemy.com/course/knime-ideas-to-tackle-similar-challenges-in-your-own-project/Fikper
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