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Publisher's Summary

This book appeals to the listener's desire to explore the world of data science in a manner that is not too technical and not too plain, but somewhere in between. This book targets this sweet spot and provides comprehensive yet brief explanations to concepts that might be otherwise misunderstood or easily ignored by the listener due to their inherent complexity.

This book covers the very key and fundamental concepts toward systematically understanding data science by drawing a well-defined road map addressing each topic in such a way that every section of every chapter reinforces the concepts and information laid out in the previous chapters. The main focus of this book is to give the listener insight into the processes involved in data science projects and shed light onto some of the most common aspects of data science, including big data and how it impacts the world. This book attempts to build a solid foundation of the concepts pertaining to data science. It will prove to be the infrastructure that will lead you to one day become a data science expert. In short, this book has all the necessary information a beginner-level data scientist would have, along with setting up for future improvement by reinforcing this knowledge with the intermediate and expert level books of the data science series. 

Are you interested in learning one of the sexiest jobs of the century? That’s what Harvard Business School terms data science as. Let’s face it - data scientists possess skills and qualities that are in more demand now than ever before, and that’s not surprising, given the sheer amount of data the world produces.

So, what is data science? 

It’s all data, and it’s about transforming it into something that businesses can use, and data scientists do this with a great deal of skill and knowledge in math, statistics, algorithms, and more. At first glance, you might dismiss data science as being far too hard to learn, but it’s like anything else - break it down into smaller parts, and you’ll find it much easier to grasp. 

That’s what I’ve done here - broken the subject down into each of its realms, to give you a better idea of what it is all about. 

In this book, you will learn: 

  • What data science is 
  • How data science relates to and differs from artificial intelligence and machine learning 
  • Math and statistics
  • Descriptive and inferential analysis 
  • What data engineering is 
  • What data visualization is 
  • The different types of visualization 
  • An introduction to Seaborn 
  • What machine learning is and how it relates to data science 
  • Different types of machine learning 
  • Different ML algorithms 
  • The steps required for successful machine learning 

Along the way, you will find plenty of practical examples, and we finish off with a series of questions you might be asked at a data science interview, along with detailed answers, and a glossary of terms. 

Don’t waste any more time; start your data science journey today by clicking the buy now button.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2021 Benjamin Smith (P)2021 Benjamin Smith
  • Unabridged Audiobook

What listeners say about Data Science

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Love it

The chapters of the book build up from each other; so many of the examples feel like they can be used as recipes for building your own custom models.

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NICE ONE

This is the best book I've seen for professional software engineers to bootstrap themselves into Data Science, Machine Learning

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amazing book

I am impressed about how this book was designed, its layout is very logic and can take you from the basic terms to complicated knowledge, action is louder than speaking, it also -learn to teach newbies like me to practice those theories, I will recommend it.

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HIGHLY RECOMMEND

I found this really interesting and it made a lot of sense. Definitely worth a read if you're interested in knowing how men and women tick and about the psychology of attraction.

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love it

I read this author's The Science of Likability so when this popped up in my feed, I wanted to give it a shot. I'm fascinated by psychology and how we can use it in different aspects of our lives,

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knowlegeble book

An interesting topic. I wasn't sure what to expect going into this book. However, the material drew me in. the information presented was well researched and presented in a way that hooked me

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amazing book

If any of the non-technical people are interested in understand what AI can and cannot do, this is a must read.

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information book

Detailed book on r and python programming. Meant for rookkee like me.This book is perfect for newbies and for people with some knowledge

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helpful book

This book goes an amazing job explaining Data science, pandas, NumPy, and other tools.. However, if you are a beginner python learner this is not for you

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5STAR

Excellent book. Lots of examples and good explanation in relation to the codes and results. However, it is necessary to explain the inputs when using database from the libraries

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  • catheef
  • 12-01-21

BEST BOOK

While you won't use this book to become a world expert, it will get you on the right track for your journey.

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  • Arif
  • 12-01-21

amazing book

Data Science for Dummies is for those who need high quality information in a condensed but easy to digest approach.

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  • Anonymous User
  • 11-30-21

informative book

The book is perfect guide for beginners learning success.Good book . I have hobby of reading . This is what i am looking for

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  • Anonymous User
  • 11-30-21

GREAT BOOK

I'm having 14 years of work experience and 0% knowledge in programing and coding. Started learning with this book for past one week. It is superb book

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  • Anonymous User
  • 11-30-21

5STAR

I bought this book in amazon and satisfied with delivery and package.
Coming to Book review: I have started reading and practicing simultaneously

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  • Anonymous User
  • 11-30-21

highly recommand

Excellent book. Lots of examples and good explanation in relation to the codes and results. However, it is necessary to explain the inputs when using database from the libraries

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  • Anonymous User
  • 11-28-21

FOUR STAR BOOK

The book is awesome, no doubt about that. The condition I received it in is a different storyVery good book and a ready-reckoner for using python for data analytics.

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  • Durga. R
  • 11-25-21

MUST LISTEN TO IT

I try to make my reviews as helpful and unbiased as I can. I will update my review if anything happens to change my opinion.

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  • Aila
  • 11-25-21

GOOD BOOK

This book was purchased for me as a gift. I didn't wish to refuse it for it is very good for beginners, as I have to admit I am.

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  • Eman
  • 11-24-21

GOOD BOOK

This is a great collection of best chapters practices where well organized, I encourage everyone I work with to listen to this book