The Division of Statistics + Scientific Computation at The University of Texas at Austin will be hosting the University’s sixth annual UT Summer Statistics Institute on the UT Austin campus from May 20 – May 23, 2013. Short courses are offered at all levels including introductory statistics, software, and statistical methods and applications. We are offering Introduction to R, Multivariate Data Analysis Using R, Introduction to Data Mining, Advanced Regression, Applied Text-Mining and Text-Analysis Using R, and Power Analysis for Proposal Writing, which all use R, as well as other courses that would be of interest to R users.
Learn the statistics you’ve always wanted to know from some of the very finest faculty at UT! Registration closes May 3. Students receive a 60% discount and groups can receive a 20% discount off the regular $550 course fee. Visit our website at http://ssc.utexas.edu/programs/summer-statistics-institute to download the UT Summer Statistics Institute brochure and learn more. Short courses are offered at all levels including introductory statistics, software, and statistical methods and applications. New this year: *Applied Text-Mining and Text-Analysis with R *Introduction to Visual Analytics *Pattern Analysis, Predictive Analytics and Big Data: Theory and Methods *A Unifying Statistical Framework for Big Data: Graphical Models *Introduction to MapReduce Programming Model with Hadoop *Writing Competitive Federal Grant Proposals We are offering these introductory courses in common statistical software: *Introduction to Microsoft Access *Introduction to R *Introduction to Stata [sponsored by www.stata.com] *Introduction to SPSS *Data Analysis Using SAS --------------------------------------------- Michael J. Mahometa, Ph.D. Manager, Consulting Services Division of Statistics and Scientific Computation College of Natural Sciences - G2500 University of Texas at Austin 512.471.4542 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
