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Bibliografische Details

Titel: Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & . Data Science & Python Books for Beginners)
Verlag: Independently published
Erscheinungsjahr: 2019
Sprache: Englisch
ISBN-10: 1081762462
ISBN-13: 9781081762469
Einband: paperback
Zustand: Good

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Inhaltsangabe

Learn data analytics without drowning in formulas or jargon—No experience needed!

Data Analytics for Absolute Beginners is your no-stress, no-nonsense guide to understanding and applying data analysis—even if you've never worked with data before.

This hands-on, beginner-friendly guide is packed with practical examples, visual explanations, and two bonus Python exercises (with video tutorials) to walk you through real-world analysis scenarios.

Using a "Lego set" approach, each chapter builds on the last—cell by cell, bit by bit—to give you the practical foundation to succeed in today's data-driven world—without getting bogged down by complexity. By the end of the book, you will have the practical knowledge to tackle real data problems in your organization or daily life.

Inside this book:

• How to recognize the common data types every data scientist needs to master
• Where to store your data, including Big Data
• New trends in data analytics, including what is Alternative Data and why few people know about it!
• How to explain the distinction between Data Mining, Machine Learning, and Analytics to your colleagues
• When and how to use Regression Analysis, Classification, Clustering, Association Analysis, and NLP
• How to make better business decisions using Data Visualization and Business Intelligence

Perfect for:

• Anyone looking for a practical data analyst book for beginners
• Students and professionals needing a hands-on data analytics textbook
• Readers who found "Data Analytics for Dummies" too scattered
• Those curious to learn data analytics for business or career growth
• First-time readers of data science books for beginners

Whether you're diving into spreadsheets, exploring business data dashboards, or just want to better understand how data shapes the world, Data Analytics for Absolute Beginners makes data analysis clear, approachable, and actionable.

Start unlocking insights from your data—without needing a computer science degree! Buy a copy now to start learning data analytics!

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We are a family run online bookshop based in Wales at the western edge of the Brecon Beacons National park and have been selling books online since October 2004. I have always had a love of books and it eventually got to the stage where my own book collection began to take over the family home! I reluctantly decided to sell a few of my own books on Amazon and was astonished at how quickly they sold. I was hooked and decided to start buying and selling books as a small part-time business from my spare bedroom. The business rapidly expanded, taking over the spare bedroom and my garage, swiftly followed by a spare bedroom in my mother's house and her garage! I acquired a small industrial unit in February 2007 and took the plunge to go full-time in March 2007, closely followed by my wife in September 2007. In October 2007 we moved in to larger premises and also took on our first members of staff to assist with the ever increasing workload. Our aim is to ensure that the people who buy our books enjoy the same service that we would hope for when purchasing a book ourselves. To that end, we endeavour to give all our books accurate descriptions, price them accordingly and dispatch swiftly and safely. All orders are dispatched within one working day, Monday to Friday. We will endeavour to answer all queries by email within 24 hours.

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Goldstone Books Limited
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Email: customerservices@goldstonebooks.co.uk - Phone: 01269 267070
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All orders are shipped within 1 working day. We offer a no quibble returns service. If you would like to return your item for any reason please email us in the first instance within 7 days of receipt. If there is a fault with your item that is not described in the listing, you may return your item for a refund within 30 days of purchase. All returns must be returned in their original packaging.