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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy:
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
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
159 pages, Paperback
Published July 21, 2019
12 people are currently reading
83 people want to read
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Displaying 1 - 4 of 4 reviews
October 22, 2024
Fue todo un desafío leer este libro porque es la primera vez que leo algo completamente en inglés, sumado a un lenguaje que no manejo, pero fue bonito poder haber sorteado eso de buena manera.
El libro es bastante completo, a mi me gustó harto y siento que uno sin saber nada de data y los procesos, queda informado sobre la base del manejo de esto de una manera fácil. Así que cumple con el objetivo que plantea, no sé, es súper interesante y el lenguaje que utilizan es afable también. No le doy cinco estrellas netamente porque como estaba en inglés habían cosas que no entendía y obvio me perdía, pero eso ya es algo personal.
El libro es bastante completo, a mi me gustó harto y siento que uno sin saber nada de data y los procesos, queda informado sobre la base del manejo de esto de una manera fácil. Así que cumple con el objetivo que plantea, no sé, es súper interesante y el lenguaje que utilizan es afable también. No le doy cinco estrellas netamente porque como estaba en inglés habían cosas que no entendía y obvio me perdía, pero eso ya es algo personal.
September 27, 2024
Libro breve.
Offre una panoramica nel settore della Data Science.
Il merito principale è la capacità di sintesi oltre a introdurre la terminologia di base del settore.
Ovviamente non è un testo approfondito, parlare di tecnolgia è ben diverso di farla; esattamente come parlare di un sport non è la stessa cosa che praticarlo.
Ecco questo libro vi parla di tecnologia ma da molti spunti su dove investire tempo studiando ed esercitandosi praticamente.
Offre una panoramica nel settore della Data Science.
Il merito principale è la capacità di sintesi oltre a introdurre la terminologia di base del settore.
Ovviamente non è un testo approfondito, parlare di tecnolgia è ben diverso di farla; esattamente come parlare di un sport non è la stessa cosa che praticarlo.
Ecco questo libro vi parla di tecnologia ma da molti spunti su dove investire tempo studiando ed esercitandosi praticamente.
March 2, 2025
Absolutely loved this book. Well written, key topics were well covered, and although a bit more technical and more geared to data scientists than marketing analysts, all topics were written to easily understand.
October 17, 2024
Clear and detailed explanation with simplified concepts. The most valuable aspect was the precise naming and labeling of terms and functions, which I found particularly helpful.
Displaying 1 - 4 of 4 reviews