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

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

Hardcover

DatabasesGeneral Computers

ISBN10: 1989632106
ISBN13: 9781989632109
Publisher: This Is Charlotte.
Published: May 12 2019
Pages: 268
Weight: 2.00
Height: 0.63 Width: 8.50 Depth: 11.00
Language: English

★☆★ This book includes 2 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? 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:

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