Data Literacy: How to Understand and Communicate Data Effectively

Data is one of the critical assets that every enterprise and organization possesses. While not everyone in an organization needs to be a data scientist, some skills are necessary to leverage data in their day-to-day work.

In this on-demand webinar, we will discuss how data literacy requires one to create measurable value from data. Depending on the task at hand, one will use a combination of descriptive, diagnostic, predictive, and prescriptive analytics. Data will only be helpful if we can read, understand, use, interpret, and communicate with it.

You Will Learn the following:

  • How Data Literacy can help your organization get the most value from your data.
  • How understanding the Data language can help with your day-to-day work.


[Webinar ID# 5313]
Earn 1 CEU. Credits are self-reported to the industry certifying bodies. Check their respective websites for details/qualifications.


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Chris Mawata

Chris has over 30 years of IT experience, including 17 years of teaching at the university level and 15 years of training Java and Big Data programmers. As a Learning Tree instructor, Chris has authored four courses. As a consultant, he runs a 20-node cluster on which he has several Big Data frameworks installed. In addition, Chris has published peer-reviewed papers in image processing, artificial intelligence, and pure mathematics.