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Data Analytics Made Easy
Data Analytics Made Easy

Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code

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Key benefits

  • Enhance your presentation skills by implementing engaging data storytelling and visualization techniques
  • Learn the basics of machine learning and easily apply machine learning models to your data
  • Improve productivity by automating your data processes

Description

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own. Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.

Who is this book for?

This book is for beginners who work with data and those who need to know how to interpret their business/customer data. The book also covers the high-level concepts of data workflows, machine learning, data storytelling, and visualizations, which are useful for managers. No previous math, statistics, or computer science knowledge is required.

What you will learn

  • Understand the potential of data and its impact on your business
  • Import, clean, transform, combine data feeds, and automate your processes
  • Influence business decisions by learning to create engaging presentations
  • Build real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and more
  • Create professional-looking and business-centric visuals and dashboards
  • Open the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning models

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2021
Length: 406 pages
Edition : 1st
Language : English
ISBN-13 : 9781801074155
Category :
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Product Details

Publication date : Aug 30, 2021
Length: 406 pages
Edition : 1st
Language : English
ISBN-13 : 9781801074155
Category :
Concepts :

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Frequently bought together


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Total £ 96.97
Practical Data Science with Python
£41.99
Data Analytics Made Easy
£24.99
Data Science Projects with Python
£29.99
Total £ 96.97 Stars icon
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(12 Ratings)
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4 star 33.3%
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A. Zubarev Sep 13, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The “rise of the data” (AKA data is the new oil) is a modern phenomenon due to the increase in compute power, storage at lower costs, and data ingestion and processing at scale capabilities.With the raise in demand to process and visualize more data, the number of tools at one’s disposal is also increasing, especially nowadays, in the age of the Open-Source Software. However, at the same time, it became also progressively more challenging to navigate the waters of the myriad of offerings to build a comprehensive toolchain that would deliver the complete data pipeline: from data ingress to a data story.This book, in my view, really resolves this challenge by demonstrating an efficient use of carefully chosen battle-proven tools: Knime and PowerBI. The book completes the picture even more by immersing into data transformations, Machine Learning, delivering efficient visualizations, reports automation, data story telling, and it does not stop there leaving the road to explore with Python, and other industry proven tools.Well done! Highly recommend it.
Amazon Verified review Amazon
Robin W Dec 12, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I found this a very handy book to supplement an introductory course I recently completed in Data Analytics. Handy and clear black and white illustrations inside. One of the best points, where other Amazon-Printed books seem to often fail on, is the inclusion of an index. In fact, I found the whole layout excellent quality and the descriptive text highly readable as well as educational.
Amazon Verified review Amazon
vincent tanoe Oct 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is an excellent book with provided details.
Amazon Verified review Amazon
Susheel Oct 11, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Nowadays people are getting into analytics field. Every company, team, mind needs a way out to do analysis and dig more to gauge the performance for there key metric. Trust me you can start from this book.Not only it has used tableau and power bi to better visualize the analysis how to leverage its best use but also very simple explanation to shape your mind to be an analyst. I am half way through to this book and absolutely loves it.Renu Dogra.
Amazon Verified review Amazon
adriangs86 Oct 21, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Andrea’s new book is a great piece of knowledge that aims to solve one of the main pain points of the industry today: data analytics and the ability to deliver insights with proper storytelling techniques.The choice of examples, tool, and demos is excellent, and it is for sure a good guide for both students and professionals. Concretely, I see a lot of value for citizen professionals looking for new data skills to apply immediately at work. This is also good news for the companies, as this volume will contribute to the (highly necessary) data training process of millions of professionals around the world.In summary, this incredible effort from Andrea de Mauro will help - as the title suggests - make data analytics easy… or at least a bit easier! Bravo.
Amazon Verified review Amazon
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