• Data Analytics

  • Become a Master in Data Analytics
  • De: Richard Dorsey
  • Narrado por: Eric Morrison
  • Duración: 1 h y 9 m
  • 4.4 out of 5 stars (22 calificaciones)

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Data Analytics  Por  arte de portada

Data Analytics

De: Richard Dorsey
Narrado por: Eric Morrison
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Resumen del Editor

Analyzing data is not easy due to the fact that you have to figure out which type of data analytics you are going to use, as well as defeat the challenges that you will come up against when it comes to analyzing data.

With this book, it is our goal to show you the easiest way to work with data analytics and how you are going to avoid some of the challenges and risks that you will be putting yourself up against when you are working with data.

You will realize that analyzing data is not the easiest thing in the world. However, it is going to get easier the more that you practice. Just guarantee that you are taking the time to practice and do not put too much pressure on yourself.

In this book, you are going to learn:

  • The risks of data analytics
  • The types of data analytics that are out there in the world
  • What the decision tree is
  • The benefits of using data analytics
  • Real world examples that will show you how you are going to be able to take this knowledge and apply it to your everyday life

Data analysis happens no matter what line of work you are in, and it is my hope that with this book, you are able to learn everything that pushes you further in your knowledge of data analysis!

©2017 Richard Dorsey (P)2017 Richard Dorsey

Lo que los oyentes dicen sobre Data Analytics

Calificaciones medias de los clientes
Total
  • 4.5 out of 5 stars
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Ejecución
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Historia
  • 4.5 out of 5 stars
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  • Total
    4 out of 5 stars
  • Ejecución
    5 out of 5 stars
  • Historia
    4 out of 5 stars

very informative

Very informing book! Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. Skilled analyzes all of this data can help businesses, governments, and organizations to make better-informed decisions, respond quickly to changing needs, and to gain deeper insights into our rapidly-changing environment. This is really worth recommending!

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  • Total
    5 out of 5 stars
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    5 out of 5 stars

thanks for this

Awesome Guide and very easy to understand and follow. I learned so much and I can now teach my friends. I really like the part: Mistakes to avoid. Thanks for this

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  • Total
    4 out of 5 stars
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    5 out of 5 stars

great book

An great guide for Data Analytics for the apprentices that give helpful data on the most proficient method to set an information. This is very useful and informative. It was very simple to read and the instructions are easy to follow, and for me this is one of the best book for data analytics. Recommended!

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  • Total
    5 out of 5 stars
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    4 out of 5 stars

friendly guide

This book explained analytics in simple terms that made it user friendly and incorporated detailed examples making it more relatable.

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  • Total
    5 out of 5 stars
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    5 out of 5 stars

great insights

For someone completely new to the tech industry, this book explains web scraping, data mining, machine learning, big data and other key concepts for data science. The book is simple, easy to understand- definitely one of those "data science for dummies" listener. Would recommend/ ideal for people who are interested in data analytics but unsure how to apply it in their careers... don't worry this book will give you great insights

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    5 out of 5 stars
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    5 out of 5 stars

great techniques


The book finishes with some various data mining techniques. Data analytics and data mining differ and the book briefly explains how. It ever so briefly mentions smart contracts that use blockchain technology. I hadn't heard of smart contracts before and I plan to investigate this

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  • Total
    5 out of 5 stars
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    5 out of 5 stars
  • Historia
    5 out of 5 stars

great insights

For someone completely new to the tech industry, this book explains web scraping, data mining, machine learning, big data and other key concepts for data science. The explanation is simple, easy to understand- definitely one of those "data science for dummies" . Would recommend/ ideal for people who are interested in data analytics but unsure how to apply it in their careers... don't worry this book will give you some insights

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  • Total
    5 out of 5 stars
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    4 out of 5 stars

highly recommended

I am running a small business on my own and have to say that analyzing data is super important. I overlooked that aspect in my early career and had a lot catching up to do. From taxes to market research data analytics is very important. Understand data and interpreting it is important to your business and this book explain that in an easy to understand manner. This is a great book. Highly recommended

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  • Total
    4 out of 5 stars
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    5 out of 5 stars

informative

Very informing book! Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. Skilled analyzes all of this data can help businesses, governments, and organizations to make better-informed decisions, respond quickly to changing needs, and to gain deeper insights into our rapidly-changing environment. This is really worth recommending

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  • Total
    5 out of 5 stars
  • Ejecución
    5 out of 5 stars
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    4 out of 5 stars

thanks to author

An great guide for Data Analytics for the apprentices that give helpful data on the most proficient method to set an information. This is very useful and informative. It was very simple to have and the instructions are easy to follow, and for me this is one of the best book for data analytics. Recommended!

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