The document promotes an analytics meetup event. It discusses the goals of analytics, which include deriving insights from vast amounts of data and communicating those insights to support decision making. It also discusses the high demand for analytics talent and profiles data scientist careers. A variety of industries that can benefit from analytics are listed. Text mining techniques like categorization and cluster analysis are briefly explained. Finally, the document advertises a Master's in Analytics program.

1. Analytics Meetup
Andrea Villanes
andrea.villanes@gmail.com
@andreagrr

2. Come to the dark side. We have data.

3. Acerca de mí
Educación
Experiencia
Otros

4. Que es Analytics?
The goal of analytics is to:
• Derive and effectively communicate actionable
insights from a vast quantity and variety of data.
• It covers a broad spectrum of activities, including:
– data management and quality,
– mathematical and statistical methods for data
modeling,
– techniques for visualizing data in support of
enterprise-wide decision making.

5. Data… Data everywhere
...but there’s a scarcity of talent with the
skills to make sense of it and create value.

6. Demanda - Analytics

7. Perfil de carrera – Data Scientist
Data Scientist

9. Herramientas

10. En que podemos aplicar Analytics?
• Retail
• Manufacturing
• Healthcare
• Energy
• Consumer product goods
• Transportation
• Telecommunications
• Software / Internet
• Advertising
• Financial services
• Pharmaceuticals
• Consulting
• Banking
• Airlines
• Lodging
• Insurance
• Publishing
• Government
• Sports

11. Data… data everywhere
+

12. Qué es Text Mining?
Input Process Output
Text Mining: finding patterns and trends in text (unstructured data), and
summarizing them into useful output for decisions.
Categorization

13. Areas you are worried or concerned about? – Examples
“My mom is sick and might need surgery”
“My son-in law has just lost his job.”
“My mother-in-law is in ICU
dying of ovarian cancer.”
“Daughter seeking employment
following college graduation”
“Retirement”
“My job stability”
“My job was eliminated in May and
am currently searching for a new
position”
“Finances”
“Starting a new job”
“Aging relatives health”

14. Text mining: cluster analysis
Areas you are worried or concerned about?

15. May 28th

16. Text Mining: text categorization
Tell me what you tweet, and I will
tell you who you are

17. Text Mining: text categorization
MomTeenagerTechnology oriented
person

18. Text Mining: text categorization - Results
Teenager

19. Text Mining: text categorization - Results
Technology oriented
person

20. Mom
Text Mining: text categorization - Results

21. Masters of Science in Analytics
• 10 meses – Intensivo – Presencial
• Trabajo en equipo
• Hands-on
• 100% de los estudiantes oferta de trabajo
• Practicum project
• http://analytics.ncsu.edu

22. /MentorMeInfo /MentorMeInfo

23. Students Professionals
• Resume
• Cover letter
• Interview preparation
• Professional networking
• School
selection
• Essay
• Resume
• Interview preparation
Undergraduate - MBA - Master

24. Results: Undergraduate, Graduate, MBA

25. Results: Internships, Full-time

26. Data Scientist: The Sexiest Job of the
21st Century

27. Come to the dark side. We have data.