GitHub - Anushri1903/SAS_data_analysis: Applying general statistics methodology to problems using computer-based data analysis techniques and demonstrating SAS skill through hands-on requirements.

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
01 Databases.sas		01 Databases.sas
02 SQL Basic Queries.sas		02 SQL Basic Queries.sas
03 SAS Programs.sas		03 SAS Programs.sas
03DisplayingQueries.sas		03DisplayingQueries.sas
04 SAS Syntax.sas		04 SAS Syntax.sas
04 Subqueries.sas		04 Subqueries.sas
05 Combining Data Sets in the Data Step.sas		05 Combining Data Sets in the Data Step.sas
05 SAS Data Sets.sas		05 SAS Data Sets.sas
06 Joins.sas		06 Joins.sas
06 Reading SAS Data Sets.sas		06 Reading SAS Data Sets.sas
07 Complex Queries.sas		07 Complex Queries.sas
08 Creating Views and Tables.sas		08 Creating Views and Tables.sas
09 Manipulating Data.sas		09 Manipulating Data.sas
09 Set Operators.sas		09 Set Operators.sas
10 SQL Additional Features.sas		10 SQL Additional Features.sas
10EditingData.sas		10EditingData.sas
11 Macro Variables.sas		11 Macro Variables.sas
11 Processing Data Iteratively.sas		11 Processing Data Iteratively.sas
12 Macro Definitions.sas		12 Macro Definitions.sas
12ManipulatingDataPart2.sas		12ManipulatingDataPart2.sas
13 Combining Data Sets.sas		13 Combining Data Sets.sas
13 Macro Data Step Interface.sas		13 Macro Data Step Interface.sas
14 Macro SQL Interface.sas		14 Macro SQL Interface.sas
14 Summary Reports1.sas		14 Summary Reports1.sas
15 Macro Programs.sas		15 Macro Programs.sas
15Summary Reports2.sas		15Summary Reports2.sas
16 Simulating Univariate Samples.sas		16 Simulating Univariate Samples.sas
16Introduction to SQL.sas		16Introduction to SQL.sas
17 Simulating Sampling Distributions.sas		17 Simulating Sampling Distributions.sas
README		README

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# This repository contains following essential SAS concepts.
# Basic SAS

1. Preliminaries
2. Introduction to SAS
3. SAS Programs
4. SAS Syntax
5. SAS Datasets
6. Reading SAS Datasets
7. Controlling Input and Output
8. Reading Raw Data
9. Manipulating Data
10. Editing Data
11. Processing Data Iteratively
12. Processing Text
13. Combining Datasets
14. Summary Reports

# Adavanced SAS

1. Advanced data step topics
2. Manipulating data with PROC SQL
3. SAS macro facility
4. Simulation with the data step
5. Analyses with PROC IML

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Applying general statistics methodology to problems using computer-based data analysis techniques and demonstrating SAS skill through hands-on requirements.

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data sas macros data-visualization predictive-analytics statiscal-learning

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