StatSoft Provides Predictive Analytics Software for Statistics.com Course

StatSoft is providing STATISTICA Data Miner, predictive analytics software,
for Statistics.com'sSTATISTICA Data Miner Practicum class.Registrations are being accepted for this
class, which starts on June 10, 2011.

StatSoft's innovative Data Miner Recipes (DMR) will be used,which guides the user through the predictive analytics process. DMR enables the user to take data(even if they are not perfect) and quickly apply "best practices," obtain and test outcomes (validate models),and then move on to refine the results without the need of an advanced degree in statistics or predictive modeling.No one has "perfect data," but everyone needs fast,actionable results.Click here to find out more about this class and registration.

Blogs About STATISTICA - The Groundhog: Friend or Fraud?

StatSoft recently added new bloggers. You will find these blogs to be very entertaining and educational.
Here is a sneak peak by Amanda Shankel that answers the question above.

Groundhog Day is perhaps my favorite rodent-related holiday.

Some background from Wikipedia for those unfamiliar with the February 2 tradition: "According to folklore, if it is cloudy when a groundhog emerges from its burrow on this day, it will leave the burrow, signifying that winter will soon end. If on the other hand, it is sunny, the groundhog will supposedly 'see its shadow' and retreat back into its burrow, and winter will continue for six more weeks."

The largest US celebration takes place in Punxsutawney, Pennsylvania. At 7:25 a.m. local time, the groundhog known as "Punxsutawney Phil" gives his official "prediction." To my surprise, the National Oceanic and Atmospheric Administration actually tracks the groundhog's prediction and notes whether the proceeding February temperatures were above or below normal. Let's see how Phil did...
To read the full blog and more, visit www.statsoft.com/support/blog.

Spotlight Blog on Scott Zellmer

Scott Zellmer comes from a background of management positions in the high-tech industry,
ranging from leading the development of statistical methodologies to implementing broad
manufacturing changes to leading technical teams.
Read more about Scott and his experiences with STATISTICA>>>
If you're interested in participating in an upcoming Spotlight Blog, E-mail us and let us know!

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