Dr. Brian Spiering outlines a data science workflow designed for nonprofit applications, emphasizing the importance of asking the right questions, assembling the right team, and acquiring proper data. The process involves structuring the team, cleaning the data, modeling insights, and delivering valuable outcomes. He stresses that the workflow should remain adaptable and nonlinear to effectively serve the community.

1. Dr. Brian Spiering
Nonprofit Edition
A DATASCIENCE WORKFLOW:

2. Hi, I’m Brian.
Faculty @GalvanizeU
brian.spiering@galvanize.com
@BrianSpiering

3. A Data Science Workflow
Ask1
Acquire2
Process3
Model4
Deliver5

4. Ask
1
Start by asking the right questions

5. How can Data Science be a
force multiplier for good?

6. Acquire
2
Find the right team & obtain the proper data

7. Adam Crawley Eric Williams

8. Citizen Science for Tracking Flu

9. Process
3
Create a structure to empower the team
(and clean the data)

11. Model
4
Leverage your team to find meaning in the data

15. Deliver
5
Make sure what you make has value

16. “Flusion” Report for Health Authorities

17. “Flusion” Report for Health Authorities

18. “Flusion” Report for Health Authorities

19. A Data Science Workflow
Ask1
Acquire2
Process3
Model4
Deliver5

20. Life is nonlinear
(your process should be, too)

21. Thank You!