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Data Analytics Made Easy

You're reading from   Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801074155
Length 406 pages
Edition 1st Edition
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Author (1):
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Andrea De Mauro Andrea De Mauro
Author Profile Icon Andrea De Mauro
Andrea De Mauro
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Toc

Table of Contents (14) Chapters Close

Preface 1. What is Data Analytics? 2. Getting Started with KNIME FREE CHAPTER 3. Transforming Data 4. What is Machine Learning? 5. Applying Machine Learning at Work 6. Getting Started with Power BI 7. Visualizing Data Effectively 8. Telling Stories with Data 9. Extending Your Toolbox 10. And now?
11. Useful Resources 12. Other Books You May Enjoy
13. Index

Getting Started with KNIME

It's time to get our hands finally dirty with data as we unveil KNIME, the first instrument we find in our data analytics toolkit. This chapter will introduce you to the foundational features of any low-code analytics platform and will allow you to get started with the universal need you face at the beginning of every analytics project: loading and cleaning data.

Let's have a look at the questions this chapter aims to answer:

  • What is KNIME and where can I get it?
  • What are nodes and how do they work?
  • What does a data workflow look like?
  • How can I load some data in KNIME and clean it up?

This is going to be a rather hands-on initiation to the everyday practice of data analytics. Since we will spend some time with KNIME, it's worth first getting some basic background on it.

KNIME (/na�m/) is pronounced like the word knife but with an m at the end instead of an f.

You have been reading a chapter from
Data Analytics Made Easy
Published in: Aug 2021
Publisher: Packt
ISBN-13: 9781801074155
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