Data Analytics, Data Visualization & Communicating Data: 3 books in 1 cover art

Data Analytics, Data Visualization & Communicating Data: 3 books in 1

Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively

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Data Analytics, Data Visualization & Communicating Data: 3 books in 1

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

Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential. You can be a spreadsheet guru, but without the ability to turn raw data into valuable insights, the data will render useless.

That leads us to data analytics and visualization, the ability to examine data sets, draw meaningful conclusions and trends, and present those findings to the decision-maker effectively.

Mastering this skill will undoubtedly lead to better and faster business decisions.

The 3 books in this series will cover the foundational knowledge of data analytics, data visualization, and presenting data so you can master this essential skill in no time.

This series includes:

  • Everything Data Analytics-A Beginner's Guide to Data Literacy: Understanding the Processes That Turn Data Into Insights
  • Beginners Guide to Data Visualization: How to Understand, Design, and Optimize Over 40 Different Charts
  • How To Win With Your Data Visualizations: The 5-Part Guide For Junior Analysts To Create Effective Data Visualizations And Engaging Data Stories

These 3 books cover an extensive amount of information, such as:

  • Overview of the Data collection, management, and storage processes
  • Fundamentals of cleaning data
  • Essential machine learning algorithms required for analysis such as regression, clustering, classification, and more…
  • The fundamentals of data visualization
  • An in-depth view of over 40+ charts and when to use them
  • A comprehensive data visualization design guide
  • Walkthrough on how to present data effectively

And so much more…

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)2022 Elizabeth Clarke
Data Science Machine Learning Business Science Business

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