Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.29 GB | Duration: 2h 45m

What you'll learn
You improve your K skills by solving data cleaning challenges
You learn and apply new K nodes
You can transfer techniques you learn here to your own data problems
You continue your K learning journey with me together
Requirements
This course was requested by students and assumes prior knowledge with K
If you have no prior knowledge with K I highly recommend my K - a crash course for bners course first
no coding required
K can be ed for free
Description
K data cleaning challenges
The world of today and tomorrow is mainly driven by data.

Companies need people with skills in data preparation and extraction.
Let's face it. Data is everywhere but it's messy. We spend hours and hours cleaning it using various tools (Excel, Python, R, ...)
What about spending less , using a tool which requires no coding (allows it but does not require it!), which is fun to work with and has incredible data cleaning capabilities That means, more fun and working faster!
This course is hands on and gives you the chance to learn and increase your skills in K by facing data cleaning challenges
No matter if you are a business user working with data, a business user, a data analyst, data scientist or data eeer, K is the right tool for you.
In this course we tackle various data cleaning examples and solve them together. The course was requested by students who wanted to see more hands on data challenges and assumes you have used K before.
The goal is to learn K nodes and concepts which can be transfered to your own data cleaning challenges.
If you have no prior knowledge then I highly recommend to take my bners course "K - a crash course for bners" first. There you learn all the basics in a complete case study to get you up to speed. Based on this knowledge you can improve your skills with this and my other K courses you find here.
I am convinced the course content provides value and will help you in your daily work and / or future career in our data driven world.
Are you ready Then let's go!
Who this course is for
Data Analysts
Business Users
Data Scientists
Data Eeers




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