Introduction to SAS, GUI
Concepts of Libraries, PDV, data execution etc
Building blocks of SAS (Data & Proc Steps - Statements & options)
Debugging SAS Codes
Importing different types of data & connecting to data bases
Data Understanding(Meta data, variable attributes(format, informat, length, label etc)
SAS Procedures for data import /export / understanding(Proc import/Proc contents/Proc print/Proc means/Proc feq)
Data Manipulation steps(Sorting, filtering, duplicates, merging, appending, subsetting, derived variables, sampling, Data type converstions, renaming, formatting, etc)
Data manipulation tools (Operators, Functions, Procedures, control structures, Loops, arrays etc)
SAS Functions (Text, numeric, date, utility functions)
SAS Procedures for data manipulation (Proc sort, proc format etc)
SAS Options (System Level, procedure level)
Introduction exploratory data analysis
Descriptive statistics, Frequency Tables and summarization
Univariate Analysis (Distribution of data & Graphical Analysis)
Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)
SAS Procedures for Data Analysis(proc freq/Proc means/proc summary/proc tabulate/Proc univariate etc)
SAS Procedures for Graphical Analysis (Proc Sgplot, proc gplot etc)
Introduction to Reporting
SAS Reporting Procedures (Proc print, Proc Report, Proc Tabulate etc)
Exporting data sets into different formats (Using proc export)
Concept of ODS (output delivery system)
ODS System - Exporting output into different formats
Introduction to Advanced SAS - Proc SQL & Macros
Understanding select statement (From, where, group by, having, order by etc)
Proc SQL - Data creation/extraction
Proc SQL - Data Manipulation steps
Proc SQL - Summarizing Data
Proc SQL - Concept of sub queries, indexes etc
SAS Macros - Creating/defining macro variables
SAS Macros - Defining/calling macros
SAS Macros- Concept of local/global variables
Introduction of Statistics
Descriptive and inferential statistics
Explanatory Versus Predictive Modeling
Population and samples
Uses of variable independent and dependent
Types of variables quantitative and categorical
Descriptive Statistics Introduction
Descriptive Statistics Introduction
Measures of shape skewness
Statistical graphics procedures
The SGPLOT Procedure
ODS Graphics Output
Using SAS to picture your data
Confidence Intervals for the Mean Introduction
Distribution of sample means
Normality and the central limit theorem
Calculation of 95% confidence interval
Hypothesis Testing introduction
Decision Making Process
Steps in Hypothesis Testing
Types of error and power
The p value effect size and sample size
Statistical Hypothesis Test
the t statistic t distribution and two sided t test
Using proc univariate to generate a t statistic
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