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Beginners Guide to Data Visualization

How to Understand, Design, and Optimize Over 40 Different Charts (Guides for Data Analytics, Data Visualization, and Communicating Data)

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Beginners Guide to Data Visualization

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

Are you struggling with turning data into insights? Always relying on the faithful pie chart? If you want to learn 40+ different ways to visualize data and how to design them for success, this is the book for you.

Data is the new oil. Data is essential for companies to predict trends, identify opportunities and be two steps ahead of the competition by providing them with important insights before they happen. But all this data would render useless without something called data visualization, the ability to turn raw information into meaningful insights. Mastering this skill will undoubtedly lead to better and faster business decisions.

Whether you're a data scientist working in tech, transforming consumer behavior into valuable information, a product manager looking to enhance user experience, or brand new to the industry wondering where to start, data visualization is key.

But, To unlock the door to successful data visualizations, you'll need to learn a few things, such as:

  • How people process information
  • The fundamentals of data visualization
  • Over 40+ charts, so your tool belt is full
  • A comprehensive design guide
  • How to redesign a visual from bland to stunning
  • And so much more….

Luckily all of these things are covered in Beginners Guide to Data Visualization.

No matter what industry you work in, there is always a need for better forecasting and understanding of a company's data. Those who develop data visualization skills will play a key role in an organization's growth and will lead the charge, carving a better path forward for company success.

Click the "Buy Now" button above to spice up the “skill sets” section of your resume and become an asset to your team.

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 Management Management & Leadership Business Technology Machine Learning
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