Data Literacy and Analytics
I give various lectures relative to data analytics, visualization and risk modeling. A sampling of the covered topics is shown below. If you have further question, or would like to discuss the possibility of presenting these topics to your organization, please contact me. They can be tailored to the cohort and built to address specific needs.
The point of these lectures is to showcase the attractability of analytics, not to create angst across the audience around the complexities of mathematical formulas. It is taking a position of “how can this be useful and practice-applied”. Yes – it answers the question often asked in school …. “when am I ever gonna use this stuff?”
Building Data Literacy
- Data Analytics – a comprehensive overview of data analytics and scenarios of its application
- Descriptive Data – the simplicities of understanding and the applicability using examples
- Presenting within the Organization
- Data Engineering, Data Analytics, Insight, Business Intelligence – breaking it all down
- Career Enablment – enablining your career, knowing how to “time” things, identifying personalities and using LinkedIn to research your career.
- There is no crystal ball, but you can get close to the target- predictive vs descriptive
- Visualizations that make the point
- Topics you can research and use to help in understanding data analytics
- What’s this stuff on Big Data?