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Data Analytics Audiobook

Data Analytics: Ultimate Guide to Understanding How to Read Data 3 in 1

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Publisher's Summary

Three amazing books in one about analyzing and mining data!

Audiobook 1: Learn more about how to analyze data now! This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. You'll learn, among others:

  • What the big deal with big data is and what to do with them
  • Fundamentals, risks, and strategies to analyze data
  • Social network data analysis
  • Applications to health care, business, and industrial data
  • Tips on analyzing decision trees, regression, and sentiment
  • The most important basics each analytical geek wants to know before they take these practices to the next level

Audiobook 2: Dive into the complicated matter of analyzing and mining for data, correctly. Forget about intuition or assumptions. Data are facts you can rely on, if you draw the right conclusions. Drawing those conclusions requires certain skills and a background in knowledge that leads to the proper steps. This guide will help you along the way by addressing topics such as:

  • The what and why of data mining, and the different applications to business-related topics
  • Attributes, classifications, datasets, and types of learning you need to understand to fully be aware of what you are dealing with
  • Data quality and data quantity thoughts
  • Data mining process steps, including CRISP-DM and SEMMA
  • Linear, probabilistic, and other models to use in the visualization and analysis of data you have found
  • Techniques such as clustering, viewing genetic algorithms, and neural networks
  • Evaluation analysis strategies, classification, and numeric predictions

Audiobook 3: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement, in order to get results that are precise and beneficial. Learn about:

  • Modeling data and visualization
  • The three V's of big data and what to do with them
  • Software recommendations and applications
  • Machine algorithms and interesting side notes regarding them
  • Rules, infrastructure, adaptation, and other techniques
  • Perception and cognition basics that apply to data
  • Efficient uses of regression, database querying, machine learning, and data warehousing

©2017 Charles Jensen (P)2017 Charles Jensen

What Members Say

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4.8 (26 )
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  •  
    muzainah 09-16-17
    muzainah 09-16-17
    HELPFUL VOTES
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    "Best data mining book in business context"

    This is by far the best Data Mining book that has a business focus. There are 100 data mining books that will tell you how, for example, neural network works. But you will still be blank where and how to apply this.
    In short, this is a book that tells you when to use data mining, how to use data mining and how to evaluate the models in a business context. It offers many real business examples. If you are truly interested in data mining solutions for business, this is the book to read.

    1 of 1 people found this review helpful
  •  
    Olivia 09-16-17
    Olivia 09-16-17
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    "Great book for providing a high level summary"

    Great book for providing a high level summary of data science techniques to people that may not care about the mathematical details. I tend to recommend this to people more worried about building up a working knowledge of classic problems and approaches in data science rather than for those wanting to look at page after page of detailed math related to probability distributions. The authors took up the challenge of writing a timeless book in a field undergoing fast technological growth. If you want to manage successful teams in data science and data-analytic thinking this book is a must. I highly recommend it!

    1 of 1 people found this review helpful
  •  
    Mthujan 09-16-17
    Mthujan 09-16-17
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    "I learned a lot"

    This is not a fluffy book. It helped me understand what is possible in data science. It is a good compliment to technical books on or whatever for doing data science. This book is used in Northwestern University's course on machine learning. We've got textbooks that provide the technical definitions on data mining techniques, but if you want good knowledge without the itty bitty details, this is a great book. I use this book for the explanation of concepts in a way someone with a business background (vs a comp-sci backgorund) can understand.

    1 of 1 people found this review helpful
  •  
    talithabenjamin 09-16-17
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    "Better understanding of "Data Science""

    This is by far the most accessible data science book out there. If you have any interaction with data scientists/statisticians as part of work, this book is a way to understand the burgeoning field better.

    It does not go in depth into mathematics or computer science concepts, rather it grounds the material into a digestible format that anyone can understand.

    This book addresses the topic of Big Data in a practical, understandable manner. Some books are too technical or the authors seem to be learning as they go. These guys know what they are talking about well enough to really be able to explain it.

    1 of 1 people found this review helpful
  •  
    meenachi 09-16-17
    meenachi 09-16-17
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    "Easy to understand with given real life examples"
    Would you listen to Data Analytics again? Why?

    Over all, I found this book very useful and concise reference for test preparations. It is excellent in covering many practical concepts about data analytics.


    Which scene was your favorite?

    N/A


    Did you have an extreme reaction to this book? Did it make you laugh or cry?

    No


    Any additional comments?

    This book really help me a lot in understanding big data analytics because the contents are easy to absorb, especially with the given real life examples. With the help of this book, everything seem to be easier to connect from one to another. I would recommend this book to others who want to improve their knowledge quickly around the area of data analytics.

    1 of 1 people found this review helpful
  •  
    NabilaBarry 09-15-17
    NabilaBarry 09-15-17
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    "Data backed with research."

    The narration went on smoothly and I just repeat listening to it when I want to clarify a certain topic. I specifically focus on the techniques for data analytics which there were seven of them enumerated by the narrator, their advantages and tips for creating such analysis. Overall, listening to this audio was a good one. It makes the listening experience good.

    1 of 1 people found this review helpful
  •  
    corneliusdavid 09-15-17
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    "Useful book"

    This is such a wide topic but it was narrowed down bit by bit in a detailed fashion to make the listeners understand what the author wants to say or explain. In totality, it was a wise buy cause it was less costly learning. Analytics is a process of systematic analysis of data or statistics to come up with a result based on what was discovered on the data analysis process. I learned the basics of data analytics, terminologies, big data and its benefits and so on.

    1 of 1 people found this review helpful
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    parvesh 09-15-17
    parvesh 09-15-17
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    "the most critical elements for any business"

    I often hear the word data analytics when I was working in a company which provides I.T support.. Analytics is one of the most critical elements for any business that wishes to create a better user experience, improve their products or services, and increase their revenue. In this book, it discussed the basic of data analytics, how a business could benefit to it and enumerated those types and analytics and how it can be created. Interesting read for everyone. Has complete details of information.

    1 of 1 people found this review helpful
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    rabhia 09-15-17
    rabhia 09-15-17
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    "Well Researched and Highly Effective"

    Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance He is very good narrator.

    1 of 1 people found this review helpful
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    jency 09-15-17
    jency 09-15-17
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    "Useful for me."

    That was a good narration. I like the ideas presented in the book. It was fresh ideas for me. It makes me check my old files in terms of operation and basically check what processes can make it better and drop those that causes delay and operation downtime. I have clearly visualize that there are redundant process and when I finalized this plan, it will surely eliminate those stuffs that are not needed. I realized that we are also over staffing.

    1 of 1 people found this review helpful

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