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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning) - Couverture souple

Livre 1 sur 2: Learn Data Analytics & Data Storytelling for Beginners

Theobald, Oliver

 
9781081762469: Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning)
Couverture souple
ISBN 10 : 1081762462 ISBN 13 : 9781081762469
Editeur : Independently published, 2019

Synopsis

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!

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding—treated in this book as data literacy—resides in knowing what lies behind the data.

Everything from the data’s source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight.
It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path.

Topics covered in this book:

Data Mining
Big Data
Machine Learning
Alternative Data
Data Management
Web Scraping
Regression Analysis
Clustering Analysis
Association Analysis
Data Visualization
Business Intelligence

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2019
Langue
anglais
ISBN 10 
1081762462
ISBN 13 
9781081762469
Reliure
Broché
Nombre de pages
149
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg