DataScienceInPractice

Chapter 1: Introduction to R

What is a Data Science?

Why is it so important?

En general hay dos tipos de oportunidades de negocios con Big Data y Data Science

  • Mejorar el funcionamento de las organizaciones internamente, es decir que cualquier proceso dentro de una organización se puede mejorar
  • Hacer cosas nuevas hacia la sociedad, hacia los usuarios.

Ejemplos Reales:

  • Que ve la gente? Como se usa la tele? Oferecer los canales que los interessan
  • Telefonica ha analisado los datos del parque movil y foot que personas hay en que lugar, a que horas y a que dia? Eso permite optimzar muchas cosas, permite optnizar empresas publicas de transporte pueden mejor por donde se mueve la gente y a que hora del dia.
  • No hace falta poner una personas dentro de la boca del metro para perguntar, usted donde vas

Ellos crearan Smart Steps

Smart Steps Definition Smart Steps is an Insights solution that uses anonymous and aggregated mobile data to help organizations make better business decisions based on actual behaviour.

Telefonica Smart Steps

http://dynamicinsights.telefonica.com/blog/488/smart-steps-2

http://dynamicinsights.telefonica.com/blog/1263/black-friday-week-sees-a-bigger-increase-in-footfall-in-city-centres-and-regional-shopping-centres-than-in-town-centres

Black Friday’s impact in footfall http://dynamicinsights.telefonica.com/blog/1263/black-friday-week-sees-a-bigger-increase-in-footfall-in-city-centres-and-regional-shopping-centres-than-in-town-centres

Anonimizar y agregar

Experian Footfall

http://www.footfall.com/ https://vimeo.com/129442369

Footfall Definition by IPSOS

We define Footfall, also known as People Counting or Shopper Counting, as the measurement of the number of people entering a shop or shopping mall.

By counting how many people enter your shop, your footfall means we can determine other key metrics which are crucial for survival in today’s retail climate – such as Conversion Rates and ATV (Average Value Transaction).

See: http://www.ipsos-retailperformance.com/about-us/what-we-do/footfall-definition/

Casos de Usos

  • Optizar compras
  • Promociones personalizadas
  • Recursos Humanos

Below we selected some links about Data Science.

Help Wanted: Black Belts in Data Starting salaries for data scientists have gone north of $200,000 http://www.bloomberg.com/news/articles/2015-06-04/help-wanted-black-belts-in-data

Videos:

Richard Benjamins (Telefónica): "El data scientist debe saber de datos, negocio y comunicación"

R is ...

Important Web Resources for R

R Project http://www.r-project.org/

http://cran.r-project.org/ CRAN: Comprehensive R Archive Network, including packages http://cran.r-project.org/web/views/Environmetrics.html Task view of some Environmetrics packages My slightly annotated list of packages relevant to NPS I&M http://finzi.psych.upenn.edu/search.html R Site Search (Jonathan Baron) http://www.rseek.org/ R search Engine

See the link:

http://science.nature.nps.gov/im/datamgmt/statistics/r/rcourse/session1.cfm

Links:

http://www.totaltele.com/view.aspx?ID=489274&G=1&C=2&page=1

Amazon Machine Learning https://aws.amazon.com/blogs/aws/amazon-machine-learning-make-data-driven-decisions-at-scale/?utm_source=Bootstrapping+Machine+Learning&utm_campaign=b39c6ce8b1-Amazon+ML+vs+Azure+ML+vs+PredictionIO&utm_medium=email&utm_term=0_43ef0752cf-b39c6ce8b1-102491709&mc_cid=b39c6ce8b1&mc_eid=ca984719d8