Webcast Announcement: Oracle's In-Database Statistics
Today (Wednesday), May 2, 2007 at 12:00 PM EST, the Oracle Business Intelligence, Warehouse and Analytics (BIWA) Special Interest Group (SIG) will host another interesting free webcast:
Oracle's In-Database Statistics
Speaker: Charlie Berger
Oracle Database 10g embeds a range of SQL-based basic statistical functions including: summary statistics, hypothesis testing, correlation coefficients, distribution fitting, ANOVA, and cross-tabulation statistics. This collection of useful in-database statistical functions offer an attractive alternative to SAS and other external statistical packages. Additionally, in-database statistical functions improve "information latency" and enable analytical processes to be performed without the traditional complicated "data extraction, analysis and import of results" process. This BIWA eSeminar will introduce Oracle's statistical functions using examples.
- Perform summary statistics (mean, median, quartiles, extreme values, etc.)
- Perform various hypothesis tests (t-test, F-test, Mann Whitney test, ANOVA, etc.)
- Perform correlations analysis, cross tabs, etc.
- Perform distribution tests
Charlie Berger is the Senior Director of Product Management for Data Mining Technologies at Oracle. He has over 20 years of experience in data mining and statistical software industry including product management positions at Thinking Machines Corporation and Bolt Beranek and Newman (BBN) Corporation. He holds Masters in Manufacturing Engineering and MBA degrees, both from Boston University.
Web Conference link
Video link: Click here.
Audio link (USA): 888-967-2253
Meeting Id: 534705#Audio will also be streamed on web for overseas participants.
If you have problems connecting using the above information check for updated web conference information at the BIWA web page.
BIWA SIG is a forum where customers can exchange the latest information on Oracle BI/DW technologies. The BIWA SIG regularly invites speakers to give talks of potential interest to its members. Visit BIWA for more information.