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Analytics Meetup
Andrea Villanes
andrea.villanes@gmail.com
@andreagrr
Come to the dark side. We have data.
Acerca de mí
Educación
Experiencia
Otros
Que es Analytics?
The goal of analytics is to:
• Derive and effectively communicate actionable
insights from a vast quanti...
Data… Data everywhere
...but there’s a scarcity of talent with the
skills to make sense of it and create value.
Demanda - Analytics
Perfil de carrera – Data Scientist
Data Scientist
Herramientas
En que podemos aplicar Analytics?
• Retail
• Manufacturing
• Healthcare
• Energy
• Consumer product goods
• Transportation...
Data… data everywhere
+
Qué es Text Mining?
Input Process Output
Text Mining: finding patterns and trends in text (unstructured data), and
summari...
Areas you are worried or concerned about? – Examples
“My mom is sick and might need surgery”
“My son-in law has just lost ...
Text mining: cluster analysis
Areas you are worried or concerned about?
May 28th
Text Mining: text categorization
Tell me what you tweet, and I will
tell you who you are
Text Mining: text categorization
MomTeenagerTechnology oriented
person
Text Mining: text categorization - Results
Teenager
Text Mining: text categorization - Results
Technology oriented
person
Mom
Text Mining: text categorization - Results
Masters of Science in Analytics
• 10 meses – Intensivo – Presencial
• Trabajo en equipo
• Hands-on
• 100% de los estudiant...
/MentorMeInfo /MentorMeInfo
Students Professionals
• Resume
• Cover letter
• Interview preparation
• Professional networking
• School
selection
• Essa...
Results: Undergraduate, Graduate, MBA
Results: Internships, Full-time
Data Scientist: The Sexiest Job of the
21st Century
Come to the dark side. We have data.
WiTPeu meetup :Analytics con Andrea Villanes
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WiTPeu meetup :Analytics con Andrea Villanes

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WiTPeu meetup :Analytics con Andrea Villanes

  1. 1. Analytics Meetup Andrea Villanes andrea.villanes@gmail.com @andreagrr
  2. 2. Come to the dark side. We have data.
  3. 3. Acerca de mí Educación Experiencia Otros
  4. 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. 5. Data… Data everywhere ...but there’s a scarcity of talent with the skills to make sense of it and create value.
  6. 6. Demanda - Analytics
  7. 7. Perfil de carrera – Data Scientist Data Scientist
  8. 8. Herramientas
  9. 9. 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
  10. 10. Data… data everywhere +
  11. 11. 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
  12. 12. 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”
  13. 13. Text mining: cluster analysis Areas you are worried or concerned about?
  14. 14. May 28th
  15. 15. Text Mining: text categorization Tell me what you tweet, and I will tell you who you are
  16. 16. Text Mining: text categorization MomTeenagerTechnology oriented person
  17. 17. Text Mining: text categorization - Results Teenager
  18. 18. Text Mining: text categorization - Results Technology oriented person
  19. 19. Mom Text Mining: text categorization - Results
  20. 20. 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
  21. 21. /MentorMeInfo /MentorMeInfo
  22. 22. Students Professionals • Resume • Cover letter • Interview preparation • Professional networking • School selection • Essay • Resume • Interview preparation Undergraduate - MBA - Master
  23. 23. Results: Undergraduate, Graduate, MBA
  24. 24. Results: Internships, Full-time
  25. 25. Data Scientist: The Sexiest Job of the 21st Century
  26. 26. Come to the dark side. We have data.

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