Here's a list and brief description of the available projects.
Everyone should do the first 4 projects.
Project 1 An introduction to the SAS operating environment.
Project 2 The basic SAS data step with input of data directly through the cards statement; use of labels, the sort procedure and print procedure; the means procedure.
Project 3 Reading data from ASCII files; computing new variables in the data step; the means procedure.
Project 4 Modifying existing SAS data sets using set; using loops in the data step; the ttest procedure.
Project 5 Column-wise input; analysis of categorical data using chi-square tests.
Project 6 Updating existing SAS data sets with new data.
Project 7 Basics of presentation quality graphics with proc gplot and proc g3d.
Project 8 Basic one factor analysis of variance using proc GLM.
Project 9 Advanced analysis of variance, custom hypothesis tests, and other features of proc GLM.
Project 10 Basic Box-Jenkins modeling of univariate time series analysis using proc arima (time domain).
Project 12
Some aspects of frequency domain analysis of time series using proc spectra.
Project 13
Discriminant analysis with proc discrim.
Project 14
Reading data from dBase and DIF files; using dBase and DIF files instead of actual SAS datasets.
Project 15
Using arrays, first and last, and processing dates. Repeated measures analysis.
source: http://javeeh.net/sasintro/intro134.html
Clinnovo is offering internships,Online courses,Post graduate diploma courses in Clinical Research,Clinical Data Management,SAS,Imaging analysis
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