Data Literacy Foundations

Understanding the Power & Value of Data

Data Literacy Foundations

Understanding The Power and Value of Data

Who Is It For?

Data Literacy Foundations is for anyone who is just getting started with data and who wants to feel more confident in their understanding of what data is, what it isn’t, and what it’s used for. Even those who are “data-phobic” are welcomed to sign up and take this class. No experience is required, and you don’t need to be familiar with any software programs other than how to navigate around a modern browser.

This training program is for anyone who would like to build a firm foundation of data literacy on which to build going forward.

What’s Covered in the Training?

  • The 1 Main Goal of data

  • The 2 systems of human thinking involved

  • The 3 areas of life where data matters

  • The 4 different data scale types

  • The 5 forms of data analysis

  • The 6 ways of displaying data

  • The 7 action groups of a data team

  • The 8 data pitfalls to avoid

How Can I Take the Class?

As an individual, you can choose between joining a cohort to take a 4-week online course with a live instructor, or you can search for a 1-day in-person workshop coming to a city near you.

Teams of people who would like an instructor to visit their facility to provide the training on-site can contact us using the link provided.

Coming soon: take a recorded version of the course on demand.

About the Instructor

Ben Jones is the founder, CEO and head instructor at Data Literacy, LLC.

Ben also teaches data visualization theory at the University of Washington’s Continuum College, and he has trained and presented to thousands of people worldwide in his previous roles as head of Tableau Public and Academic Programs at Tableau Software and Lean Sigma Master Black Belt at Medtronic, Inc.

Ben is the author of Communicating Data With Tableau (O’Reilly, 2014), and is currently working on his second book, Avoiding Data Pitfalls with Wiley and Sons (expected 2019). Ben regularly blogs and writes at DataRemixed.com

Ben is an exceptional teacher. Definitely in my top 5%. He invites learners to engage fully, answering questions with respect and providing ideas for further study. Ben showed us dozens of useful tips to present our data professionally and with integrity. He creates efficient lesson plans, designs useful homework exercises, and provides feedback and support that helps us all excel as busy, adult learners. I finished the class feeling that it was the highest value class I’d ever taken.

Porsche Everson, President, Relevant Strategies

“Ben Jones is a fantastic teacher whose passion for data that leaves an impression. It’s hard not to get excited about data visualization in his class, between all the jaw-dropping examples and interesting history. I learned a lot and would highly recommend working with Ben if you’re looking to enter the data viz world!”

“Ben’s classroom presence and the ease with which he leads is inspiring. He has an infectious passion for Data that transcends into every single student bringing out the very best in them. He made me fall in love with data visualization. One of the things he said in the class that stuck with me is “with the power of data comes responsibility”.”

Swati Swaminathan, Global Program Manager, Amazon Incentives

“In our class Ben expertly guided us through working with data and exploring how it touches our careers and lives. In each session I knew we’d learn useful tips and approaches to finding the stories in data. Every day I use the skills and insight Ben taught us.”

Sean Downing, Data Scientist

“Ben’s incredible depth of knowledge and passion for this field really shine through, and combined with his ability to explain the material in such a clear and straightforward manner really made the class valuable and fun.”

I feel very fortunate to have begun my data visualization training with Ben.  His ability to weave theory and practice together seamlessly left me with an understanding not just of how to assemble good visualizations, but why different data stories lend themselves to different visualization techniques.”

17 KEY TRAITS OF DATA LITERACY

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