4 votes
892 reads

Google Motion Charts with R

googleVis is an R package providing an interface between R and the Google Visualisation API. The functions of the package allow the user to visualise data with the Google Visualisation API without uploading their data to Google. For a quick start read the four page overview document.

3 votes
1504 reads

Why is useful to learn R?

Courtney Brown describing why students should learn the R programming language. R is FREE, easy to use, and open source. It is often used to do statistics, but it can also be used for other purposes as well. R has become the primary development language for many statisticians, and undergraduates and graduate students can improve their resume greatly by being able to use R.

Watch the video on YouTube:


3 votes
633 reads

Artificial Intelligence and Machine Learning Classes in Stanford - Free for all of us!

For those of you who have dreamed of having A.I and Machine Learning classes in Stanford==> the dream has come true for everyone all over the world FREE of CHARGE:


4 votes
789 reads

Statistics - Dream Job of Next Decade

Did you know that "People spend over 700 billion minutes per month on Facebook"?

It could have spent on "reading books", "tree planting", "exercising" ... If you start counting from 1 and if you spend 1 sec to count each number, it takes you 21917 years to reach 700 billion.

5 votes
1812 reads

Data Visualization - Ted Talk

Hans Rosling is a Swedish medical doctor, academic, statistician and public speaker.

1 vote
734 reads

Introduction to Scientific Programming and Simulation Using R (Book)

Not very many texts that cover numerical analysis using R and still not many that cover numerical analysis as well as more traditional R text topics such as probability and simulation. However, "Introduction to Scientific Programming and Simulation Using R" is one of those rare worth reading books that have both together.

10 votes
1193 reads

Data visualizations for a changing world

The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate. As the charts and maps animate over time, the changes in the world become easier to understand. You don't have to be a data expert to navigate between different views, make your own comparisons, and share your findings.

Check this out to see some examples:



2012 FDA/Industry Statistics Workshop
Sep 12-14, 2012 - Washington, DC
2012 Conference on Health Statistics
Aug 6-8, 2012 - Washington, DC
2012 ASA Conference on Radiation and Health
June 10-13, 2012 - Kennebunkport, ME
Actuarial Analytics in R - Free Webinar!
March 28, 2012 -11AM-12PM Pacific Time
11th annual Python in Science conference
July 16-21, 2012, Austin, TX
International Institute of Forecasters
June 24-27, Boston, Massachusetts