The document outlines a data science guide for the PASS Summit 2014, detailing presentation summaries and action steps for attendees. It includes an overview of data science concepts like data mining and predictive analytics, as well as specific sessions and their alignment with Microsoft technology and the CRISP-DM model. Recommendations for participants include bringing a laptop and engaging with others during presentations.

1. Data Science Guide for PASS Summit 2014
Mark Tabladillo Ph.D.
Microsoft MVP --Consultant (SolidQ)

2. Purpose
To provide a scientific roadmap for data science at PASS Summit 2014

3. Mark Tab
SQL Server MVP; SAS Expert
Consulting
Training
Teaching
Presenting
Linked In
@MarkTabNet

5. Outline
Overview of Data Science and PASS Summit
Presentation Summary and Details
Action Steps

6. Outline
Overview of Data Science and PASS Summit
Presentation Summary and Details
Action Steps

7. What is Data Science?
•Data Mining
•Machine Learning
•Predictive Analytics
The process of discovering patterns or models from data

8. What is PASS Summit?
Paid Conference
Seattle, WA
Nov 5 –7
http://www.sqlpass.org/summit/2014/RegisterNow.aspx

9. Outline
Overview of Data Science and PASS Summit
Presentation Summary and Details
Action Steps

10. Presentation Summary
Type
Cluster (Level)
Distinct Count
Keynote
100 (General Audience)
1
Pre-conference
300 (Technology Level)
3
Sessions
200 (OverviewLevel)
3
Sessions
300 (Technology Level)
2

11. Presentation Details
Look at sessions on advanced analytics
Map the sessions to Microsoft technology and the CRISP-DM model

12. Model: CRISP-DM
CRISP-DM = Cross Industry Standard Practice for Data Mining
Yes, DM = Data Mining but the model applies to Machine Learning and Predictive Analyticstoo

13. Keynote: Main General Session

14. Preconference November 3

15. Preconference November 3

16. Preconference November 4

17. Session (200): November 6

18. Session (200): November 5

19. Session (200): November 6

20. Session (300): November 6

21. Session (300): November 7

22. The
Microsoft
Data
Platform


23. Outline
Overview of Data Science and PASS Summit
Presentation Summary and Details
Action Steps

24. Preparation
Machine Learning Blog http://blogs.technet.com/b/machinelearning/
Forum http://social.msdn.microsoft.com/forums/azure/en- US/home?forum=MachineLearning
SQL Server Data Mining http://sqlserverdatamining.com
MarkTab http://marktab.net

25. Advanced Questions

26. What about MarkTab?
https://www.sqlsaturday.com/337/eventhome.aspx
http://www.meetup.com/The-Seattle-Business-Intelligence-Meetup/

27. Final Recommendations
Bring a laptop (especially for the preconference sessions)
Bring written questions
Meet at least one person in every presentation