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

Riley Adams , Matt Henderson


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 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.