The Laboratory of Statistical Services and Computing aims to employ our expertise in statistical analysis and research design.Our consultants at the laboratory can provide courses targeted to specific organizational or groups needs. Our short courses include wide range of topics, essential material for the inexperienced user of statistics through to technically advanced materials for experienced statisticians. Faculty members and graduate students from any discipline from UPM and other institutions are welcome. We also can provide training in statistics and data management for industry, government and international organizations.The following is the list of predesignated courses:
Statistics (Introduction, Intermediate & Advanced): 1. Complex Data Mining 2. Handling Missing Data 3. Instrumentation and Measurement 4. Sampling Techniques 5. Regression Analysis 6. Survival / Reliability Analysis 7. Extreme Value Analysis 8. Robust Statistics 9. Structural Equation Modeling 10. Small Area Estimation 11. Bayesian Statistics 12. Multivariate Analysis 13. Time Series Analysis 14. Exploratory Data Analysis 15. Statistical Modelling
Statistical & Scientific Computing (Introduction, Intermediate & Advanced): 1. R 2. SPSS 3. SAS 4. Stata 5. Minitab 6. LaTeX (Scientific Writing) 7. High Performance Computing 8. Parallel Programming / Computing 9. Python 10. MATLAB 11. C / C++