Statistical Analysis System (SAS)
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About Course
Day 1: Introduction to SAS and Basic Data Handling
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Morning Session:
- Overview of SAS and its applications
- Installing SAS software (if not already done)
- Introduction to SAS environment (SAS Studio or SAS Enterprise Guide)
- SAS syntax and structure
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Afternoon Session:
- Working with SAS datasets
- Reading and importing data (CSV, Excel, etc.)
- Data manipulation: sorting, merging, subsetting
Day 2: Data Cleaning and Transformation
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Morning Session:
- Data quality assessment and cleaning
- Handling missing values
- Creating new variables
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Afternoon Session:
- Basic descriptive statistics in SAS
- Data visualization using SAS
- Exporting data from SAS
Day 3: Statistical Analysis with SAS
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Morning Session:
- Introduction to statistical analysis in SAS
- Descriptive statistics (PROC MEANS, PROC UNIVARIATE)
- Exploratory data analysis (PROC FREQ, PROC CORR)
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Afternoon Session:
- Hypothesis testing (PROC TTEST, PROC ANOVA)
- Chi-squared tests (PROC FREQ)
- Non-parametric tests (PROC NPAR1WAY)
Day 4: Regression Analysis and Modeling
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Morning Session:
- Linear regression analysis (PROC REG)
- Logistic regression analysis (PROC LOGISTIC)
- Model selection and interpretation
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Afternoon Session:
- Time series analysis (PROC TIMESERIES)
- Survival analysis (PROC LIFETEST)
- Introduction to machine learning in SAS (PROC HPML)
Day 5: Advanced Topics and Final Projects
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Morning Session:
- Data mining and clustering (PROC FASTCLUS)
- Text mining (PROC TEXTMINER)
- Introduction to SAS macros
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Afternoon Session:
- Final projects: Students work on small data analysis projects using SAS
- Presentation of projects and discussion
Short Description
Statistical Analysis System (SAS)