Data Literacy
- 3. Definition Literacy can be defined as the ability to derive information from written words. Data Literacy can be defined as the ability to derive meaningful information from data and argue with data. Let's broaden the above definition and really understand what data literacy is!
- 4. Are you as curious as George! Reading and Understanding (Ask Questions) Is it relevant ? Is it correct? Should we go with the face value? Writing and Discovery (Look at data & produce solutions) More brains looking at data more varied solutions Curiosity and CriticalThinking (Critical Eye towards the answer provided for the question asked) Inclination towards asking questions, What question to ask, Critical eye towards the answer provided and its usefulness
- 5. Do you trust your data ? Data Literacy is the ability to question if my data is accurate. Data Literacy is the ability to question if my data is useful.
- 6. Do you trust what you see ? Data Literacy is the ability to understand how aggregations were calculated. Data Literacy is the ability to understand basic statistics.
- 7. Do you trust what you create ? Data Literacy is the ability to use facts to communicate complex ideas - without misleading the audience. Data Literacy is the ability to use all the facts, including missing data.
- 8. Skills & Traits Data Literate Person
- 9. SKILLS
- 10. Human Touch
- 11. The Difference Shift from the ability to make it happen -> to the ability to decide what to make it happen.
- 12. It’s a Top-Down Change The data literacy initiative needs to start from the top of the corporate chain, for impact and boarder coverage of its importance and understanding. Educational programs are needed for data literacy to drive the change.
- 13. Challenges Dismiss data because they are unable to comprehend it Cultural challenge Complexity (human thinking) No common language
- 14. Data – A Common Language New language we all need to be fluent in. Data is a language that anyone can learn to read and speak. Start seeing data as the beginning of the conversation, not the end. Engaging thoughtful dialogue. Seeing data and deciding what’s next !
- 15. Where to Start ? Be Curious Be Creative
- 16. Few Thoughts... Data literacy isn't just about visualizing charts or understanding charts Its much broader than that ..how we think about data that is necessary, then its all about people and not about technology or data science, it is how we uncover the curiosity and ability to ask the required questions
- 17. Must Watch
- 18. A Picture says a Thousand Words