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Everything Data Analytics A Beginner's Guide to Data Literacy

Understanding the Processes That Turn Data Into Insights

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Everything Data Analytics A Beginner's Guide to Data Literacy

By: Elizabeth Clarke
Narrated by: Brennan Koenigsreuter
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About this listen

Do you want to begin a career as a data professional but are unsure where to start? Look no further! This book will help you gain the necessary knowledge to pursue an amazing career as a data professional.

LinkedIn has found that since 2012, there has been a 650 percent job growth in data science-related fields. Not to mention, there will be an estimated 11.5 million new jobs in the field by 2026 (source: US Bureau of Labor Statistics).

With the world going remote, and precisely this field following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information.

Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.

By the end of this book, you will finally understand:

  • What exactly are data science, data analytics, and big data
  • The data collection, management, and storage processes
  • The essential fundamentals of cleaning data
  • Business intelligence and its importance
  • Essential machine learning algorithms required for analysis such as regression, clustering, classification, and more…
  • Effective data visualization
  • Skillsets required for the many different career options

And so much more….

If you want to build your data literacy foundation and set yourself up for success in one of the most sought-after careers of the decade, you should listen to this audiobook!

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2022 Elizabeth Clarke (P)2024 Elizabeth Clarke
Data Science Machine Learning Career

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