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  • Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & ... Analytics & Data Storytelling for Beginners)

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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & ... Analytics & Data Storytelling for Beginners)

4.5 out of 5 stars (637)

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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 analytics, 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 coding exercises (with video tutorials) to walk you through real-world data analysis scenarios.

By the end of the book, you will have the practical knowledge to tackle real data problems in your organization or daily life.

What makes this book different

Written specifically for readers with no technical or computer science background, this book covers the entire data pipeline — from how data is collected and stored, to how it's cleaned, analyzed, visualized, and used to drive smarter business decisions. Using a "Lego set" approach, each chapter builds on the last—cell by cell, bit by bit—to give you a complete mental map of the field.

Inside this book:

Data Collection — where data comes from, including web scraping, open datasets, crowdsourcing, and alternative data
Data Storage — relational databases, data warehouses, key-value stores, distributed file systems, and cloud solutions explained in plain English
Variables & Data Types — the building blocks of every dataset, clearly defined and illustrated
Data Scrubbing — why cleaning data matters more than most people think, and how to do it
Methodology — clear introductions to descriptive analytics, data mining, and machine learning
Algorithms — regression, classification, clustering, association analysis, and natural language processing, each broken down with real-world examples
Data Visualization — how to present data clearly and honestly, with a tour of the most useful chart types and tools
Business Intelligence — how successful organizations like Amazon, Netflix, and Google use data to make better decisions
Practical Python Demos — hands-on coding examples walking you through both descriptive and inferential analysis

Perfect for:

• Complete beginners with no coding or statistics background
• Business professionals who work with data but lack formal training
• Career changers exploring data science for the first time
• Anyone who wants to understand the language of data analytics and feel confident in data-driven conversations

Whether you're diving into spreadsheets, exploring business data dashboards, or just want to 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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From the Publisher

Data Analytics for Absolute Beginners book
Data Analytics for Absolute Beginners book
Data Analytics for Absolute Beginners book
Data Analytics for Absolute Beginners
Machine Learning for Absolute Beginners
Statistics for Absolute Beginners
AI for Absolute Beginners
Python for Absolute Beginners (Learn AI & Python for Beginners)
Customer Reviews
4.5 out of 5 stars 637
4.5 out of 5 stars 568
4.4 out of 5 stars 325
4.2 out of 5 stars 101
4.4 out of 5 stars 62
Price $14.80 $14.80 $15.89 $12.75 $13.90
Helps you Learn the basics of data analytics Learn the essentials of machine learning Learn the essentials of statistics Learn the basics of AI Learn how to code in Python

Product details

  • Publisher ‏ : ‎ Independently published
  • Publication date ‏ : ‎ July 21, 2019
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 149 pages
  • ISBN-10 ‏ : ‎ 1081762462
  • ISBN-13 ‏ : ‎ 978-1081762469
  • Item Weight ‏ : ‎ 7.4 ounces
  • Dimensions ‏ : ‎ 6 x 0.38 x 9 inches
  • Book 1 of 2 ‏ : ‎ Learn Data Analytics & Data Storytelling for Beginners
  • Best Sellers Rank: #142,542 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.5 out of 5 stars (637)

About the authors

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Customer reviews

4.5 out of 5 stars
637 global ratings
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Customers say

Customers find the book to be a great introduction to data analytics, covering major topics for beginners. They appreciate its beginner-friendly approach, with one customer noting its easy-to-follow instructions.
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10 customers mention informative, 9 positive, 1 negative
Customers find the book informative, serving as a great introduction to data analytics that covers fundamental topics.
...I am enjoying the books by this author. I love the bits of history and practical uses mixed into the concise and easy to follow instructions....Read more
...This book is a greater resource to explain the fundamentals of data science. Easy to read. Great explanations that are straight to the point....Read more
...– but at the same time I think this book is definitely a great lead-in to the subject for guys and girls just startingRead more
Good introduction to data analytics covering the major data analytics topics....Read more
6 customers mention beginner-friendly, 6 positive, 0 negative
Customers find the book beginner-friendly, with one mentioning its easy-to-follow instructions.
Short and complete for beginners.Read more
...of history and practical uses mixed into the concise and easy to follow instructions....Read more
...This book won't win awards for advanced theories but is a great easy-to-follow intro to the subject for beginners and people like me.Read more
A Good Introduction for BeginnersRead more
Amazing for Beginners
5 out of 5 stars
Amazing for Beginners
I’m studying data science at a boot camp/ 3 month online program. I have no computer science experience. This book is a greater resource to explain the fundamentals of data science. Easy to read. Great explanations that are straight to the point.You can learn some terms that are used in data science. Highly recommend.
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Top reviews from the United States

  • 5 out of 5 stars
    Great resource
    Reviewed in the United States on April 24, 2026
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    Helped me get through my class. Did what it was intended to do.

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  • 5 out of 5 stars
    Great writer
    Reviewed in the United States on September 11, 2024
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    Full content visible, double tap to read brief content.

    I have worked freelance / consulting in big data and analytics as needed for various projects for 18 years (there wasn’t much available when I started) and decided recently to study more to advance my skills.

    I am enjoying the books by this author. I love the bits of history and practical uses mixed into the concise and easy to follow instructions.

    I hope you’ll continue to create more educational content that gets more advanced as you’re a great teacher.

    3 people found this helpful
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  • 4 out of 5 stars
    Good read
    Reviewed in the United States on January 24, 2017
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    I bought this book cos it was cheap. After reading it I'd say its great value for money. Really easy to follow and well written.

    5 people found this helpful
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  • 5 out of 5 stars
    Amazing for Beginners
    Reviewed in the United States on November 20, 2023
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    Full content visible, double tap to read brief content.

    I’m studying data science at a boot camp/ 3 month online program. I have no computer science experience. This book is a greater resource to explain the fundamentals of data science. Easy to read. Great explanations that are straight to the point.You can learn some terms that are used in data science. Highly recommend.

    Amazing for Beginners
    Amazing for Beginners
    Amazing for Beginners
    5 out of 5 stars
    Amazing for Beginners
    Reviewed in the United States on November 20, 2023

    I’m studying data science at a boot camp/ 3 month online program. I have no computer science experience. This book is a greater resource to explain the fundamentals of data science. Easy to read. Great explanations that are straight to the point.You can learn some terms that are used in data science. Highly recommend.

    5 people found this helpful
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  • 5 out of 5 stars
    Great introduction
    Reviewed in the United States on February 9, 2025
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    Good introduction to data analytics covering the major data analytics topics. I especially liked the section at the end with python examples as well as recommendations for future reading. While the book does not provide a deep dive into the topics, it is a good read for those interested in this subject.

    2 people found this helpful
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  • 5 out of 5 stars
    A Good Introduction for Beginners
    Reviewed in the United States on April 3, 2017
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    Full content visible, double tap to read brief content.

    Author is right in that he doesn't tell you that you're going to be a data scientist over night - as data mining is a long and challenging discipline to master – but at the same time I think this book is definitely a great lead-in to the subject for guys and girls just starting

    6 people found this helpful
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  • 5 out of 5 stars
    Data Science is Complicated
    Reviewed in the United States on January 23, 2017
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    Data Science is bloody complicated. I've spent 3 weeks of my holiday break on Quora and reading my textbook for next term trying to piece it all together. This book won't win awards for advanced theories but is a great easy-to-follow intro to the subject for beginners and people like me.

    11 people found this helpful
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  • 5 out of 5 stars
    great book that introduces data analytics
    Reviewed in the United States on September 28, 2022
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    This is a book that covers fundamentals of data analytics for the beginners. Anyone who is curious about data science and wants to start working I. This BBC area, author provides an excellent explanation to the basic concepts in a layman’s language.

    5 people found this helpful
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  • 5 out of 5 stars
    Good concise information
    Reviewed in Germany on December 15, 2024
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    Very helpful for not only beginners, but also people with advanced skills to restart. Helped me to clarify few concepts. Thank you very much.

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  • 5 out of 5 stars
    Good
    Reviewed in India on September 24, 2022
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    Good book for beginners who want to know what is there in data analytics. Example quated are simple to understand new ones

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  • 4 out of 5 stars
    Boek nodig voor studie
    Reviewed in the Netherlands on October 11, 2023
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    Goed te lezen.

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  • 5 out of 5 stars
    crappy face but good content
    Reviewed in Spain on June 8, 2017
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    it teaches you the basic vocabulary to start learning about big data and data mining, so you can start looking for in depth learning about those topics

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  • 5 out of 5 stars
    Informative, interesting.
    Reviewed in the United Kingdom on February 5, 2023
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    I'm studying Data Analytics at level 6 (British University). I thought this may be useful for clarification. So far, I've read two chapters, so the review is based on progress so far.

    It could be read by an absolute beginner, as the title states, but it is a useful supplement. At the end there is a full programme in Python to try out - not used it yet. There is also extra downloadable resources plus a number of useful links, for further research.

    I recommend this to anyone with an interest in analytics.

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