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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)
Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & ... Analytics & Data Storytelling for Beginners)
Make better decisions with this deconstructed guide to data analytics
Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & ... Analytics & Data Storytelling for Beginners)
Número do item: 29746385

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

Número do item: 29746385

R$ 146

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Destaques do Produto

Beginner-Friendly
This guide simplifies complex data concepts, making it accessible for novices. It's designed to build confidence in understanding data analytics without overwhelming technical jargon.
Comprehensive Coverage
The book includes essential topics like data visualization, business intelligence, and machine learning, providing a well-rounded introduction to key aspects of data analytics.
Practical Approach
With real-world examples and practical insights, this guide helps readers apply their knowledge effectively, ensuring they gain valuable skills for immediate use in professional settings.

Detalhes do produto

Learn the fundamentals of data analytics, data visualization, business intelligence, Python, and statistics with our beginner-friendly guide. Enhance your data literacy and make informed decisions. Shop now at Ubuy Brasil KW.
  • 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 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 analysisPerfect 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 conversationsWhether 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!
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 (209.79 grams)
Dimensions 6 x 0.38 x 9 inches (15.2 x 1 x 22.9 cm)
Book 1 of 2 Learn Data Analytics & Data Storytelling for Beginners

Para quem é indicado?

Suitable For
  • Complete Beginners

    Individuals with no prior knowledge of data analytics seeking foundational understanding in data literacy and visualization.

  • Small Business Owners

    Entrepreneurs needing insights into data to make informed decisions and enhance their business performance effectively.

  • Students and Learners

    College students or those in online courses wanting to develop basic data skills and competencies for future job opportunities.

Not Suitable For
  • Advanced Analysts

    Professionals with expertise in data analytics may find this content overly simplistic and lacking in depth.

DESCRIÇÃO DO PRODUTO

About This Item

Are you interested in learning data analytics but don't know where to start? Look no further than "Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy." This comprehensive guide is designed specifically for beginners who want to dive into the world of data analytics. With this book, you'll gain a solid foundation in data literacy, allowing you to understand and interpret data in a meaningful way. Whether you're an e-commerce professional looking to enhance your data analytics skills or an absolute beginner with no prior knowledge, this book is perfect for you. The book covers a wide range of topics, including an introduction to data, data visualization techniques, business intelligence, and more. You'll also learn the basics of Python programming and statistics, which are essential skills for anyone in the data analytics field. One of the highlights of this book is its focus on e-commerce data analytics.

It delves into the specific challenges and strategies unique to the e-commerce industry, providing practical insights and real-world examples. Whether you're looking to drive growth, make data-driven decisions, or improve your overall understanding of e-commerce data, this book has you covered. Additionally, this guide emphasizes the importance of data visualization in e-commerce. You'll learn effective visualization techniques and discover the best tools available to help you make sense of complex data sets.

By mastering data visualization, you'll be able to communicate insights and trends in a visually compelling manner, making it easier for decision-makers to understand and act upon the information. To further enhance your learning experience, this book provides resources for e-commerce data literacy, including platforms, courses, and workshops. You'll have access to practical training materials and additional learning opportunities to help you sharpen your skills and stay updated on the latest trends in e-commerce data analytics. Start your journey into the world of data analytics with "Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy." Whether you're an e-commerce professional or someone looking to break into the field, this book will provide you with the foundation and knowledge you need to succeed. Order your paperback copy today and begin your data analytics journey!.

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Statistics Editorial Review

This book is a perfect tool for beginners who know barely anything about data analytics. It covers the fundamentals of data analytics in a layman's language, providing excellent explanations of basic concepts. The book is easy to read and covers lots of different aspects of data science. While some reviewers found it to be poorly edited and too long-winded, others appreciated its simplicity and found it to be a great introduction to the subject for beginners.

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Prós

  • Provides a quick overview of data analytics for beginners
  • Easy-to-follow explanations of basic concepts
  • Covers lots of different aspects of data science

Contras

  • Poor editing and too much unnecessary information

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