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Data Analytics

A Practical Guide to Data Analytics for Business, Beginner to Expert

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Data Analytics

By: James Fahl
Narrated by: Trevor Clinger
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About this listen

Understand data analytics and implement it in your business today.

Do you want improve your revenue and stop missing out on profit? Do you want to learn about data analytics in a style and approach that is suitable for you, regardless of your current knowledge? This audiobook not only provides a step-by-step guide to data analytics, but teaches you actionable steps to improve your analysis in all environments! Are you ready to learn? If so, Data Analytics: A Practical Guide to Data Analytics for Business, Beginner to Expert (Data Analytics, Prescriptive Analytics, Statistics, Big Data, Intelligence, Master Data, Data Science, Data Mining), by James Fahl is the audiobook for you!

It covers the most essential topics you must learn to become a master of data analytics. What separates this audiobook from the rest? The unique way you will learn with examples and steps. Many audiobooks leave you more confused than before you picked them up. Not this audiobook - it's clear, concise, and implementable. We made it our goal to write this audiobook in plain, easy to understand, English that anyone can understand. Gone are the days of highly technical language. This allows you to quickly learn topics and use your new skills immediately. To aid you in learning the topics quickly and effectively, this audiobook has been designed to be the ultimate step-by-step guide. Make sure that you're confident and clear with each topic, before moving on!

You will learn the following:

  • What is Data Analytics?
  • Why use Data Analytics?
  • The importance of Data Analytics
  • Types of Data Analytics
  • Explanations of Different models
  • Collecting Data
  • Mistakes to avoid

Whether you just want to learn more about data analysis, or already know but want a step-by-step guide to implement it in your life, this is the audiobook for you! So don't delay it any longer.

©2014 James Fahl (P)2017 James Fahl
Career Success Data Science Career Business Employment Machine Learning
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