Data Literacy: What the Heck is it and Why is it so Important?
DataVizLive On Demand - May 2020 • 36m
Sarah Nell-Rodriquez - Principal High Touch Customer Success Manager, Salesforce
Data Literacy is a popular word these days. Go to any data chat, and you'll see these two words bandied about by many. Some argue about the term itself, and others compare it to data visualisation skills. With so many people talking about it, this session will help to demystify the name itself. Not only will you learn what it is, but what action you can take personally and professionally to grow this movement.
The Value of Data Literacy for any business
- The place it has in data culture
- The history of data tracking
- Fast forward, impact of history on today
- What an organisation can do - the growing concern
- Building a Vision.
The purpose of this talk is to explain what Data Literacy is, and why it's important today. A person will learn what historical decisions and have lead us to this point we're at, and what they can do to help those around them. Whether personally or professionally. By the end of this session, a person will understand what data literacy, and will be empowered to act on it in their own life and career.
Up Next in DataVizLive On Demand - May 2020
-
Key Traits of High-Performing Analysts
The practical steps you and your team can take to take to improve your stakeholder engagement, and elevate your impact and productivity.
Drawing on his 30 years of experience managing, training and coaching analysts across a breadth of disciplines and industries, Steve shares the common key mind...
-
Visualising Connections
Connections are a part of us, of the world. From the connections between people, between cultures, within language, and more. In these days when more data is collected daily than we could ever hope to explore, the variety in connections being gathered is opening up the possibility to visualize th...
-
Overcoming Maths Aversion: Using Data...
How to use Data Visualisation to explain statistical concepts to a lay audience, and translate your data science insights into language that engages people.
