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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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Profile Icon De Mauro
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$34.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (12 Ratings)
Paperback Aug 2021 406 pages 1st Edition
eBook
$9.99 $26.99
Paperback
$34.99
Arrow left icon
Profile Icon De Mauro
Arrow right icon
$34.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (12 Ratings)
Paperback Aug 2021 406 pages 1st Edition
eBook
$9.99 $26.99
Paperback
$34.99
eBook
$9.99 $26.99
Paperback
$34.99

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Data Analytics Made Easy

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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
Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
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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 :
Concepts :

What do you get with Print?

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Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
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Payment Processing...
tick Completed

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Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

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 $ 133.97
Data Analytics Made Easy
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$40.99
Total $ 133.97 Stars icon

Table of Contents

13 Chapters
What is Data Analytics? Chevron down icon Chevron up icon
Getting Started with KNIME Chevron down icon Chevron up icon
Transforming Data Chevron down icon Chevron up icon
What is Machine Learning? Chevron down icon Chevron up icon
Applying Machine Learning at Work Chevron down icon Chevron up icon
Getting Started with Power BI Chevron down icon Chevron up icon
Visualizing Data Effectively Chevron down icon Chevron up icon
Telling Stories with Data Chevron down icon Chevron up icon
Extending Your Toolbox Chevron down icon Chevron up icon
And now? Chevron down icon Chevron up icon
Useful Resources Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(12 Ratings)
5 star 66.7%
4 star 33.3%
3 star 0%
2 star 0%
1 star 0%
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Top Reviews

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S. Johnson Jan 15, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Are you curious about data analysis but afraid you don't have the chops to learn programming? Looking to upskill and become more valuable in your business unit and ultimately your career? Get. This. Book.I've been in some form of data mining, analytics, data science, machine learning, et al, for more than 15 years. I'm a huge proponent of bringing the tools and skills to everyone, democratizing the process of turning data into value. Andrea's selection of KNIME and Power BI are superb starters for anyone.This book walks readers through the analytical mindset, processes, and powerful partner tools in developing the logic and visualizations that bring data to life, KNIME and Power BI. Andrea makes it easier for anyone with the curiosity and capability to follow step-by-step instructions (with the context as to why you're doing what you're doing), but maybe not the programming experience or the confidence to get started.I highly recommend this book for programmers and non-programmers alike. Programmers can see the benefits of workflow-based development and problem-solving, which is incredibly valuable in the organization of command-line interface (CLI) scripting, even to imagine visualizing the structure of their code before they begin. Non-programmers and beginners are unburdened from the syntactical issues of CLI coding that get visual results, and teach the process of smart workflow development, immediately.Andrea, a tip of the cap.
Amazon Verified review Amazon
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
sntrada Oct 05, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I received a free reviewer's copy of this book. Below is my unbiased review of the book.This book is nothing short of a Godsend. I create content on LinkedIn mostly around no-code/low-code analytics leveraging the open-source KNIME software. People routinely ask me for resources to learn Data Analytics/Data Science. However, it is near impossible to find resources where a programming language is not the primary tool utilized.While I am a huge fan of programming, I strongly disagree with the logic which equates data analytics to programming. Learning data analytics in itself is already challenging. The addition of programming creates an impossible task for many. Furthermore, the obsession with programming cuts out numerous other disciplines with perfect overlap with Data Analytics including Statistics, Psychology, Mathematics, Economics, Physics, etc.Versatile and powerful no-code/low-code platforms remove the unnecessary barrier to succeeding in the field of data analytics, and this book is the perfect bridge between data analytics theory, technology, and practice.In Data Analytics Made Easy, you will find an overview of crucial topics in analytics, ranging from the different kinds of Data Analytics to building ML Models. Andrea also offers advice and practical applications of analytics techniques gained by his decades of experience in the field. Other software such as Tableau and Power BI are also covered, including tips on effective data storytelling. The exploration of KNIME is very detailed and helpful to those new to the software who need a guide, blustered by solid examples, to help them climb the learning curve.Quite frankly, I could rave about this book some more, but I do not want you to have to read an essay. Bottom line, I very strongly recommend this book to my colleagues and others in my network. It is in a league of its own when it comes to helping you learn data analytics with a powerful tool for you to take your career or company's data utilization to the next level.Get it.Really!
Amazon Verified review Amazon
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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  6. The Democratic Republic of Congo
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