Data Science for Business 2019 (2 BOOKS IN 1): Master Data Analytics & Machine Learning with Optimized Marketing Strategies (Artificial Intelligence, Neural ... Networks, Algorithms & Predictive Modelling

by Riley Adams, Matt Henderson

★☆★ This book includes 2 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? Keep listening to 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 realized 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, Data Analytics for Businesses if 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. You’ll learn how to think data-analytically and make connections between data sources to unveil insights you’ve never imagined. In this book you will * 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 reading Data Analytics for Businesses instead. Scroll up, and CLICK BUY now!

315 pages, Kindle Edition

Published April 2, 2019

About the author

Elizabeth Spann Craig/Riley Adams writes the Memphis Barbeque series for Penguin/Berkley (as Riley Adams), the Southern Quilting mysteries for Penguin/Signet, and the Myrtle Clover series for Midnight Ink. She blogs at Mystery Writing is Murder, which was named by Writer’s Digest as one of the 101 Best Websites for Writers for 2010-2013.

Riley’s latest book is Rubbed Out: book four of the Memphis Barbeque mysteries. Her next book, Quilt Trip (written as Elizabeth Craig) releases December 2013. Elizabeth writes the Memphis Barbeque series for Penguin/Berkley (as Riley Adams), the Southern Quilting mysteries for Penguin/NAL, and the Myrtle Clover series for Midnight Ink and independently. Find out more about her books on her website: http://elizabethspanncraig.com .

Reviews

[Dave Carter · Rating 3 out of 5]

I listened to this as an audiobook. 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.