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eBay-Artikelnr.:405074626768
Artikelmerkmale
- Artikelzustand
- Level
- Beginner
- ISBN
- 9781081762469
Über dieses Produkt
Product Identifiers
Publisher
Independently Published
ISBN-10
1081762462
ISBN-13
9781081762469
eBay Product ID (ePID)
10038441295
Product Key Features
Number of Pages
112 Pages
Language
English
Publication Name
Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy : (Introduction to Data, Data Visualization, Business Intelligence and Machine Learning)
Publication Year
2019
Subject
Databases / Data Mining
Type
Textbook
Subject Area
Computers
Series
Data Storytelling: Learn Ai, Data Science and Python Books for Beginners Ser.
Format
Trade Paperback
Dimensions
Item Height
0.3 in
Item Weight
10.4 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Trade
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 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!, Make better decisions with this deconstructed guide to data analytics Want to add data analytics to your skill stack? Having trouble finding where to start? Cell by cell, bit by bit, this book teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Using the "Lego set" approach, each chapter adds and connects individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems. Who is This Book For? This book is ideal for anyone interested in making sense of data analytics without the assumption that you understand data science terminology or advanced math. If you've tried to learn data analytics before and failed, this book is for you. Practical Approach This book takes a hands-on approach to learning. This includes practical examples, visual examples, as well as two bonus coding exercises in Python, including free video content to walk you through both exercises. By the end of the book, you will have the practical knowledge to tackle real data problems in your organization or daily life. What You Will Learn - 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 Natural Language Processing - How to make better business decisions using Data Visualization and Business Intelligence
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