Data Science for Business 2019 (2 Books in 1)

Master Data Analytics & Machine Learning with Optimized Marketing Strategies

By: Riley Adams, Matt Henderson

Narrated by: Jeffrey Michael Bella

Length: 6 hrs and 36 mins

Publisher's Summary

This book includes two manuscripts: Data Analytics for Businesses 2019 + Machine Learning for Beginners 2019.

Are you looking for new ways to grow your business with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to multiply their growth? Learn how to use data analytics to maximize your business. 

Yes, you have customers that love your product. However, you’re having trouble finding new customers and captivating their attention. You realize you're also losing customers, and you have no clue what you can do to prevent this from happening. How do I stand out in a crowd of businesses? How do I target my perfect client and make them choose me? If this sounds like you, this is the guide you need. 

This book will walk you through the fundamental principles of data science and how to apply the “data-analytic mindset” when approaching your business. You will learn how to extract valuable insights from data sources you already have, and make informed business decisions to help you achieve your goals. 

With real-world examples of how to apply data analytics to your business, this book does what others fail to do: break the process down step by step, so you can optimize unique parts of your business; such as improving customer loyalty or reducing churn. This guide also helps you understand the many data-mining techniques in use today.

Discover the value of applied data science for business decision-making. 

In this book you will learn:

• Why every company should be leveraging data analytics.
• The difference between big data, data science and data analytics.
• How to achieve your goals by applying data-analytical thinking to your business.
• The recommended data mining techniques for each of your business goals.
• The most important thing to remember when extracting knowledge from your data.
• How to use data analytics to improve brand loyalty and customer experience.
• How to hire the best data scientist, and more.

If you are overwhelmed by this whole new topic of data analytics, don’t be. This guide is designed for beginners, with all the guidance you need to understand the fundamentals of harnessing data analytics for your business. So even if you have never heard about data analytics until today, I promise we will walk through this step-by-step.

By the end of this, you’ll be able to think analytically and make informed business decisions. This book illustrates how easy it is to find success by just applying a few principles.

So stop reading this description, and start listening to the book instead. Scroll up, and click "buy now"! Plus you'll get Machine Learning for Beginners 2019!

©2019 Riley Adams & Matt Henderson (P)2019 Riley Adams & Matt Henderson

Mile-wide, inch deep

This is a poorly written overview of some data science buzzwords, less detailed than your average Wikipedia article on each of the topics covered. I listened till the end because I hadn’t heard some of the terms before, so maybe that’s the utility - “exposure” to some concepts.

A list of terms only

I found this unhelpful as it simply listed every term associated with Data Science in the dictionary.. there are no clear strategies!

Useless

Basically a book containing definitions of related terms, with very little actual detail. This would be useful to somebody who has no conceptual understanding of the topic.

Great information

Gives a novice great insight into the usage of machine learning in business.Simple applications also give validity to their findings

Very insigthfull

This is a great source that does not bore you with the technical parts of the topics like other book. I reallly enjoyed this book!

Great explanation!

The best audiobook I've found so far at explaining the theory of Data Science. If you are looking to get into data science. This is a great starter audiobook that will teach you the lingo and the concepts that surround data science.

Very helpful concepts!

Riley Adams, Matt Henderson provides a fair amount of background on the field of data science and follows it up with a comprehensive and practical framework to get any business started down the path of leveraging machine intelligence. The case studies at the end are very helpful in cementing the audiobook’s concepts.

Awesome Audiobook

Data Science for Business is an ideal audiobook 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 audiobooks, but this one works well.

Strategically insightful!

Well explained, strategically insightful, a must listen in today’s new era of data driven business.

Simply a great practical audiobook

I have come to the conclusion that AI is just something all business people have to accept. Ai is around us all and every day. This audiobook has given me a good understanding of how data science works. it also clearly gives you reasons why it is critical to give programmers the right data and instructions to give you the information you need to make the right decisions. I also found it fairly easy to listen (considering i am not a data scientist). Simply a great practical audiobook to help you leverage your data for maximum business benefits.

A reasonable overview into business data analysis and ML but very repetitive.

This is a relatively interesting audiobook with some interesting material, but both books are incredibly repetitive. I am yet to read the supplies PDF which sounds like it may be more useful. If you have a loose understanding of business intelligence but are interested in understanding more about it, data science and machine learning then this is probably a worthwhile investment. If you have a better understanding than that, I would suggest this may seem like very shallow coverage relative to what you are looking for.

Available tools and techniques

Both authors practicing data science professionals. Their audiobook outlines practical considerations, explains available tools and techniques, and shows results of many well-chosen models.

Well explained introduction

A well structured and well explained introduction to this important subject. Clear examples are used and the fundamentals reinforced in many places. Of special interest is the example proposal and evaluation in the appendix. A warning, this will really only make sense by listening the audiobook.

Appropriate for all data scientists

The audiobook is appropriate for all data scientists, regardless of background or education. The math is minimal. There are computer programs or algorithms too.

Explained incredibly well

I'm trying to learn data science, and this audiobook is explained incredibly well. It gives an overview at a level which gets you a decent technical understanding, plus it points very clearly the way to dive deeper in any particular area that you would like to explore.

Awesome explanation of concepts

We've got audiobooks that provide the technical definitions on data mining techniques, but if you want good knowledge without the itty bitty details, this is a great audiobook. I use this audiobook for the explanation of concepts in a way someone with a business can understand.

Excellent audible

I don't know if it's that I was in big need of a audiobook like this one, or is simply that the audiobook is excellent. Finally a audiobook about data science in which the use of the word 'science' is justified: questions, exploration, models, heavy testing and tuning. This is not a audiobook about technology -it barely mentions Hadoop!. Instead, it introduces the thinking and the fundamental ways to solve problems using data (and intelligence.

Really helpful!

This audiobook really help me understand major data science concepts as I work in tech and constantly interface with a technical data science product + data business contacts.

Mandatory audiobook

It's an excellent, even mandatory audiobook for your Data Science shelf. I am glad I bought it. It has nowhere near enough material on some areas, though, and is just missing some material that you need for DS. That's actually OK because of course no single audiobook is enough to cover everything you need to know in a field. Look how many audiobooks you may have bought just to get an undergrad degree, and I bet it was not just one audiobook.

Learned professional skill

This audiobook helps answer what the data science is about. It teaches you what kind of task and analysis you would do if you worked as a data scientist. The author emphasizes that it is rather "conceptual" than "mathematical", so it is greatly helpful to those without much math and/or statistics background. If you are into learning professional skill or knowledge, it may not be the audiobook but it is still a good audiobook to start if you need a general idea.