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Publisher's Summary

Data is the foundation of this digital age that we live in. With this audiobook, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This audiobook covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics, and many other that will help you kick-start your data analytics journey from the very beginning.

In this audiobook, you are going to learn how to use Python and its tools in order to interpret data and examine those interesting data trends and information, which are important in predicting the future. Whether you are dealing with some medical data, sales data, or web page data, you can use Python in order to interpret data, analyze it, and obtain this valuable information.

You can also use this data for creating data analytics models and predictions.

Here is a brief preview of what you'll learn in this audiobook....

  • Data analytics applications
  • Data analytics process
  • How to install and run Python
  • Python data structures and Python libraries
  • Python conditional construct and iteration 
  • Data exploration using Pandas
  • Pandas series and dataframes
  • Data munging and distribution analysis 
  • Carrying out binary operations 
  • Data manipulation and categorical variable analysis 
  • How to build a predictive model 
  • And of course much, much more! 

Get this audiobook now and learn more about Data Analytics with Python!

©2018 Frank Millstein (P)2018 Frank Millstein

What members say

Average Customer Ratings

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  • Overall
    5 out of 5 stars
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    4 out of 5 stars

good data


The best book I've found so far at explaining the theory of Data . If you are looking to get into data and don't want to just start plugging away with Python or R then this is a great starter book that will teach you the lingo and the concepts that surround data analytics.

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excellent intro


Data Science for Business is an ideal book for introducing someone to Data Science. The authors have tried to break down their knowledge into simple explanations. I am skeptical of non-technical Data Science books, but this one works well

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A simplified version.

One great intro I must say. I’ve learned a great deal of information when it comes to data analytics and thanks for the simplified version.

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Will use this again for future learning

I didn’t now exploring data set with panda can this be fun! The important features of Python language are listed and how to use it to your advantage. I will definitely use this book again for future learning.

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good overview

I’m now exploring how to use the most popular library for DA in python language. Found panda delightful to use for its high performance. Overall, tis a good overview.

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Ideal tutorial guide to data analytics

My ideal tutorial guide. It’s complete and thorough. It has guided me in the world of data acquisition and study with the use of Python language.

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Getting enough ideas from this

Learn data analytics with python from scratch. I’m a beginner learner but so far, I’m getting enough ideas from this audiobook. So many related info that I can’t wait to start applying.

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great guide

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

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worth recommendeing

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!
Comment| One person fo

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short and simple


This provides a very short and high level overview of data analytics. I wish it had gone into more detail on the data sections instead of telling me what the different types of charts are in Excel and when to use them.

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  • Ajmal
  • 04-09-18

Different book

The kind of information that can make a difference in your decision making. Good style of writing and voice. I enjoyed it.

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  • Ola
  • 04-09-18

Awesome book

I've been listening to my book on Audible and have to pause at times to take notes, then replay it to make sure I absorb the information again. It's just that good.

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  • Emilio
  • 04-09-18

Amazing

Amazing really interesting and my rate it 5/5 because it was really good and was written like a classic.

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  • Abu
  • 04-09-18

Wonderful book

Wonderful book! This kept my interest from beginning to end. Would love to see more from this author.

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  • khajal
  • 04-09-18

ground breaking technologies

This book is highly recommended for anyone interested in learning more about these groundbreaking technologies.

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  • Carious
  • 04-05-18

very effective

This book is very good and it contains a lot of new and effective steps and information about Data Analytics and Knowing Hacking. This book is perfect for those who are into data analytics book's and for those who wants to gain more knowledge about different type's of programming this book will be very handy for you guys

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  • riyakhan
  • 04-05-18

nice listen


This book enables me to do that. It felt like a very well crash course on the ideas behind the different methods and the math to them.Went over many different methodologies and explained in such a way that was concise and relatively easy to follow.

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  • igeojames
  • 04-05-18

complete guide


A good and complete book about Data Analytics. It was interesting about Agile methodology and about Machine learning as well. All these things are very. These topics are now very popular and in order to stay up-to-date with modern technologies, it is always necessary to learn something new. Really strong book

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  • riya
  • 04-05-18

i like it


This is an informative book on data analytics! This is a concise introduction and instructions about all stages of data analysis. This book was an excellent introduction to the world of data analytics. This was very accessible and the examples were clear

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  • jasee
  • 04-05-18

easy to understant

He gives particular cases of how machine learning is actualized in promoting and somewhere else. Distinctive kinds of calculations, some upheld by people and some not, do the machine learning or information mining or other information science. Every innovation is clarified well at an abnormal state.