Data Analytics for Absolute Beginners: Make Decisions Using Every Variable: (Introduction to Data, Data Visualization, Business Intelligence & Machine … & Data Storytelling for Beginners Book 1)

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!

From the Publisher

Finally! Machine Learning & AI Books Designed for Absolute Beginners!

Plain English Explanations

All technical concepts are explained in plain English to keep you learning all the way to the final chapter!

Video Content Included

Enjoy access to video classes and code demonstrations to help you learn machine learning.

Chapter Quizzes

Test your knowledge and technical understanding with practical chapter quizzes along the way.

ML Code Exercises

Learn how to code your own basic machine learning models using Python and datasets available online.

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Pre-requisites
None (basic Python & statistics useful) Basic Python Basic Python None None

Video content

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Helps you
Learn the essentials of machine learning Learn to code machine learning models in Python Learn to code recommender systems in Python Learn the basics of data analytics Learn how to code in Python

Looking for step-by-step books on machine learning that anyone can understand? Want to learn how to code your own Python machine learning model?

This machine learning book series is designed to help you unlock the essentials of machine learning and AI, one step at a time. Whether you’re just starting or looking to enhance your skills, this series provides clear explanations, step-by-step tutorials, and practical exercises to help you quickly grasp the core concepts of machine learning and AI and apply them to real-world problems.

ASIN ‏ : ‎ B01N9PL553
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ January 6, 2017
Edition ‏ : ‎ 2nd
Language ‏ : ‎ English
File size ‏ : ‎ 15.4 MB
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 161 pages
Page Flip ‏ : ‎ Enabled
Book 1 of 2 ‏ : ‎ Learn Data Analytics & Data Storytelling for Beginners
Best Sellers Rank: #91,892 in Kindle Store (See Top 100 in Kindle Store) #3 in Computer Information Theory #6 in Data Modeling & Design (Kindle Store) #9 in Data Mining (Kindle Store)
Customer Reviews: 4.4 4.4 out of 5 stars (623) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });