INF2391 - Data Science

It is a capital mistake to theorize before one has data.
Sherlock Holmes in “A Study in Scarlett” (Arthur Conan Doyle).

Livros sugeridos: 
- Nina Zumel and John Mount. Practical Data Science with R, Manning, 2014.

- Crhistopher Gandrud, Reproducible Research with R and RStudio, R Series, CRC Press, 2014.

- Yihui Xie, Dynamic Documents with R and Knitr, R Series, CRC Press, 2014.

- Oscar P. Lamigueiro, Displaying Time Series, Spatial and Space-Time Data with R, R Series, CRC Press, 2014.

- Gareth James et al., An Introduction to Statistical Learning with Application in R, Springer, 2013.

- Deborah Nohlan and Duncan T. Lang, XML and Web Technology for Data Sciences with R, Springer, 2014.

- Eric D. Kolasky and Gabor Csárdi, Statistical Analysis of Network Data with R, Springer, 2014.

- A Orhi, R for Cloud Computing: An Approach for Data Scientits, Springer, 2014.

Software:

http://www.r-project.org/
http://www.rstudio.com/




e-mail: lopes at inf dot puc-rio dot br
Tel: 55+21+3527-1500 R:4350  Fax: 55+21+3527-1530
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) - Departamento de Informática - Sala 408 RDC
Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro, RJ, Brazil, CEP 22451-900