What is Data Science ?

• Wikipedia says : Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process the data within a tolerable elapsed time.
• 3V, some people add another V for value, some add even more
  
  source: http://kavyamuthanna.files.wordpress.com/2013/01/picture-11.png
• Its a concept, not actual size
• Most of you who will work as a data scientist may not even see big data

Taken from your comments on homework zero

• Data science is used in the analysis of data. Data analysis is important for making companies more efficient by finding patterns in the data that company compiles.
• Data Science is a new technology that works with big data
• Data Science is a collaboration of several fields of study in an effort to form a new strategic and intelligent way of describing and presenting a very large data set.
• Data science is being able to extract useful knowledge from any data set
• It is used to organize large amounts of data created in most companies
• I understand data science to be the study of identifying relationships/patterns
• I do not know much about Data Science but I am interested

Which comments did you like best?

• Arts and Science of transforming data
• Data products

• Data management
• Data technology
• Data access
• Reports

• Well, Cleveland's article says some of it, I leave it a homework problem
• Does Statistics focus on data product?
• Lots of data are now generated without having any statistical planning, but they can still provide deliverable data products

• A data dependent product that has some commercial value
  • Could be another data set summarizing the original bigger data set
  • An online tool to visualize or explore important information
  • Mobile app
  • Could be a report based on data

• Can a journal article be a data product?

• This course is not all of data science
• This is just an introduction
• We are offering other courses to the program

• What Wikipedia has to say about data science
  http://en.wikipedia.org/wiki/Data_science
• A very fundamental article by Cleveland, W. S. (2001). Data science: an action plan for expanding the technical areas of the field of statistics. International Statistical Review / Revue Internationale de Statistique, 21-26
  http://www.stat.purdue.edu/~wsc/papers/datascience.pdf
• A blog by Mike Loukides about data product
  http://radar.oreilly.com/2011/09/evolution-of-data-products.html