Data Analytics for Absolute Beginners: Make Decisions Using Every Variable:

by Oliver Theobald

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 differentWritten 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

• 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

• 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!

Genres: Nonfiction, Science

151 pages, Kindle Edition

Published January 7, 2017

Reviews

[Nick · Rating 4 out of 5]

This was a simple book, and a good introduction to data mining, and data science. But i did finish it in like half an hour. Honestly one of the best things about it is that it's essentially a compendium of tools and data sources which you can use if you want to dive into this more deeply. its also a fairly good glossary so that you can understand whats even happening when you read about this topic. its more like an intro to an intro and for what it is, it's decent.

[Divyesh Sheth · Rating 5 out of 5]

great book that introduces data analytics

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.

[Jonathan Johnson · Rating 5 out of 5]

Great book
The author goes into a lot of statistical methods that can be used for gathering, assessing, and visualizing data
Unfortunately I was listening to it on audio and missed a lot of the graphs and examples
I will have to re read it and go slower to more fully get the concepts
I recommend this book to anyone wanting a deeper dive into all of the methods used in data analytics

[Sean Flatley · Rating 5 out of 5]

A great quick introduction to Data Analytics

A great book of an introduction to Data Analytics and its something that everyone should read if any one is keen to venture into that direction of career.
The book is eatly laid out with diagrams in enabling the reader to understand.
Overall a great read of a book. Best wishes Sean

[Ron Baker · Rating 5 out of 5]

Great introduction

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.

[Travis Colella · Rating 5 out of 5]

the author made the material very understandable

I collect data manually for online poker; I have multiple excel spreadsheets for this and I really have to upgrade my spreadsheets after reading this. The data I collected would be far more valuable if I read this first

[Prasad · Rating 5 out of 5]

Good

Good book for beginners who want to know what is there in data analytics. Example quated are simple to understand new ones

[Elliot Dickson · Rating 5 out of 5]

Not bad

In my never ending quest for knowledge and the tools to acquire it, this book was indispensable. I Recommend this book.