Data analysis project to analyze user and system CPU Utilization time of the computer activity in the Delve lab of the University of Toronto
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Updated
Apr 10, 2017 - SAS
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, enterprise app development, criminal investigation, and predictive analytics.
Data analysis project to analyze user and system CPU Utilization time of the computer activity in the Delve lab of the University of Toronto
Automation of SAS Datasets creation using 100's of weekly files having different layouts using single code
Completed assignments from different courses such as Survival Analysis, Data Mining, Intro to SAS, Intro to R, Multivariate Analysis.
Small angle scattering (SAS) analyses in systems with different degrees of aggregation to model the dispersion of nanostructured phases
Udacity project within the Data Engineer Nanodegree
The study seeks to provide insights into the attributes associated with podium finishes, potentially informing training and talent identification strategies.
Dataset: CDC Wave 2 Survivor Data, Applied multiple regression models including Binomial Reg, Normal Reg, Poisson Reg, Negative Binomial, Forwards Reg, Backwards Reg. Final model selection based on AIC score.
Notes and labs from SAS Programming for R Users
Code to examine regression to the mean in SAS, Stata and R
Created by Tony Barr, Jim Goodnight
Released January 1972