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SAS DATA ANALYTICS

Categories: Statistics
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About Course

SAS is a powerful software tool used for data analysis and statistical modeling. If you’re looking for Data Analytics in SAS, Happie Labs is the best option. We offer SAS training programs that are designed to meet the needs of both beginners and experienced SAS users. Our programs are taught by experienced SAS instructors who are familiar with the latest SAS software features and can help you get the most out of your SAS learning experience.

Importance of SAS:

SAS is a software suite that can perform statistical analysis, data visualization, and predictive modeling. It is used by many organizations to make business decisions. Happie Labs offers the Industry’s best SAS Data Analytics Training. The course covers all the aspects of SAS programming and its application in business. The course is taught by experienced SAS professionals who have years of experience in the industry.

The course includes both theoretical and practical sessions. The theoretical part covers the concepts of SAS programming and its application in business. The practical part includes working on live projects. This helps the students to get hands-on experience working with SAS.

The course is designed keeping in mind the needs of both beginners and advanced users. It starts with SAS programming basics and moves on to advanced topics. This makes it suitable for both fresher’s and experienced professionals who want to learn SAS programming.
The course fee is very affordable and the schedule is flexible. Students can choose to study at their own pace or opt for fast-track courses.

SAS Course Content:

SAS/BASE                                                                                                                                     

BASIC THEORY & RULES ETC

SAS WINDOWING ENVIRONMENT

CREATION OF LIBRARIES

SAS PROGRAMMING (BRIEFLY)

– DATASTEP

– PROC STEP

WAYS TO READ DATA INTO SAS

BACK END PROCESS OF DATASTEP

INSTALLATION PROCESS                                                                                                        

DATASTEP      

DATA STATEMENT &DATASET OPTIONS

INFILE STATEMENT & OPTIONS

INPUT STATEMENT &STYLES & OPTIONS

DATALINES STATEMENT

ATTRIBUTES OF THE VARIABLES                                                                                     

LENGTH, LABEL STATEMENTS

INFORMATS & FORMATS

HOW DATES WORKS IN SAS                                                                                                   

OTHER STATEMENTS                                                                                                             

SUM STATEMENT

RETAIN STATEMENTS

GOTO STATEMENT

LINK STATEMENT

RETURN STATEMENT

KEEP STATEMENT

DROP STATEMENT

RENAME STATEMENT

REPLACE STATEMENT

RETURN STATEMENT

OUTPUT STATEMENT

DM STATEMENT                                                                                                                         

CONDITIONAL STATEMENTS & LOOPS

IF, IF/THEN, IF/THEN/ELSE,IF/THEN OUTPUT, IF/THEN DELETE STATEMENTS

WHERE STATEMENT& OPERATORS

DO, DO ITERATIVE, DO UNTIL & DO WHILE STATEMENTS

ARRAYS                                                                                                                                         

COMBINING DATASETS

CONCATENATION

INTERLEAVING

MERGE

UPDATE

MODIFY

FUNCTIONS                                                                                                                                  

CHARACTER FUNCTIONS

NUMERIC FUNCTIONS

DATE FUNCTIONS                                                                                                                      

OTHERS MISSING CONCEPTS                                                                                               

REVIEW OF DATASTEP

EXAM & DISCUSSION                                                                                                                

PROC STEP                                                                                                                                  

UTILITY PROCEDURES                                                                                                           

PROC CONTENTS

PROC COPY

PROC SETINIT

PROC DELETE

PROC PWENCODE

PROC APPEND

PROC SORT

PROC DATASETS

PROC OPTIONS

PROC COMPARE

PROC TRANSPOSE

PROC RANK

PROC FORMAT

PROC IMPORT

PROC EXPORT

PROC CATALOG

PROC CPORT

PROC CIMPORT

PROC TEMPLATE

PROC MIGRATE

PROC FORMS

REVIEW OF UTILITY PROCEDURES                                                                                     

SAS/ACCESS                                                                                                                                 

SQL PASS THRU QUERY (PROC SQL)

LIBNAME STATEMEN

PROC DBLOAD

PROC ACCESS

REVIEW OF ACCESS PROCEDURES                                                                                       

REPORTING PROCEDURES                                                                                                  

PROC PRINT

PROC TABULATE

PROC REPORT

_NULL_ REPORT (Data step Reporting)

REVIEW OF REPORTING PROCEDURES                                                                              

SAS/GRAPHS & ODS CONCEPTS

PROC GPLOT

PROC GCHART

PROC SGPLOT

PROC ANNOTATE

PROC GIS

PROC GMAP

ODS                                                                                                                                                 

REVIEW OF GRAPHS PROCEDURES

SAS/STAT                                                                                                                                     

BASIC FUNCTIONAL CLASSES OF STATISTICS

STATISTICAL PROCEDURES                                                                                                 

PROC MEANS

PROC SUMMARY

PROC UNIVARIATE

PROC FREQ

PROC CORR

PROC REG

PROC ANOVA

PROC GLM

PROC TTEST

PROC LIFE TEST

PROC LIFEREG

PROC LOGISTICS

REVIEW OF STATS PROCEDURES                                                                                                                                                          

SAS/MACROS

INTRODUCTION TO THE MACRO FACILITY

PURPOSE OF THE MACRO FACILITY

PROGRAM FLOW

MACRO VARIABLES                                                                                                                                                                                                         

INTRODUCTION TO MACRO VARIABLES                                                                        

AUTOMATIC MACRO VARIABLES

MACRO VARIABLE REFERENCES

USER-DEFINED MACRO VARIABLES

DELIMITING MACRO VARIABLE NAMES

DELETING MACRO VARIABLES

MACRO FUNCTIONS                                                                                                                  

MACRO DEFINITIONS                                                                                                              

DEFINING AND CALLING A MACRO

MACRO PARAMETERS

MACRO STORAGE                                                                                                                       

DATA STEP AND SQL INTERFACES-                                                                                 

CREATING MACRO VARIABLES IN THE DATA STEP

INDIRECT REFERENCES TO MACRO VARIABLES

RETRIEVING MACRO VARIABLES IN THE DATA STEP

CREATING MACRO VARIABLES IN SQL                                                                              

MACRO PROGRAMS                                                                                                                 

CONDITIONAL PROCESSING

PARAMETER VALIDATION                                                                                                     

ITERATIVE PROCESSING

GLOBAL AND LOCAL SYMBOL TABLES                                                                              

FRAMEWORK FOR DEVELOPING MACRO APPLICATIONS                                     

DEBUGGING AND TROUBLESHOOTING

GENERATING CUSTOM MESSAGES

CREATING EFFICIENT MACROS

REVIEW OF MACROS                                                                                              

PERFORMANCE TUNING CONCEPTS                                                                          

TESTING/DEBUGGING TECHNIQUES                                                                              

ERROR HANDLING                                                                                                                     

ADDITIONAL FEATURES BETWEEN SAS VERSIONS                                                  

CERTIFICATION CLASSES

DOMAIN-SPECIFIC PROJECT

PRACTICE

SDLC (Software Development Life Cycle)

CODING ON REAL TIME DATA

INTERVIEW QUESTIONS

RESUME PREPARATION

WRITTEN TESTS

MOCK INTERVIEWS

PLACEMENTS & OUTSOURCING

CONSULTING

DEVELOPMENT                                                                                                  

PROC SQL

INTRODUCTION TO THE SQL PROCEDURE

WHAT IS SQL?

WHAT IS THE SQL PROCEDURE?

TERMINOLOGY

COMPARING PROC SQL WITH THE SAS DATA STEP

RETRIEVING DATA FROM A SINGLE TABLE

OVERVIEW OF THE SELECT STATEMENT

SELECTING COLUMNS IN A TABLE

CREATING NEW COLUMNS

SORTING DATA

RETRIEVING ROWS THAT SATISFY A CONDITION

SUMMARIZING DATA

GROUPING DATA

FILTERING GROUPED DATA

VALIDATING A QUERY 

RETRIEVING DATA FROM MULTIPLE TABLES

INTRODUCTION

SELECTING DATA FROM MORE THAN ONE TABLE BY USING JOINS

USING SUBQUERIES TO SELECT DATA

WHEN TO USE JOINS AND SUBQUERIES

COMBINING QUERIES WITH SET OPERATORS

CREATING AND UPDATING TABLES AND VIEWS

INTRODUCTION

CREATING TABLES

INSERTING ROWS INTO TABLES

UPDATING DATA VALUES IN A TABLE

DELETING ROWS

ALTERING COLUMNS

CREATING AN INDEX

DELETING A TABLE

USING SQL PROCEDURE TABLES IN SAS SOFTWARE

CREATING AND USING INTEGRITY CONSTRAINTS IN A TABLE

CREATING AND USING PROC SQL VIEWS

PROGRAMMING WITH THE SQL PROCEDURE

INTRODUCTION

USING PROC SQL OPTIONS TO CREATE AND DEBUG QUERIES

IMPROVING QUERY PERFORMANCE

ACCESSING SAS SYSTEM INFORMATION USING DICTIONARY TABLES

USING PROC SQL WITH THE SAS MACRO FACILITY

FORMATTING PROC SQL OUTPUT USING THE REPORT PROCEDURE

ACCESSING A DBMS WITH SAS/ACCESS SOFTWARE

USING THE OUTPUT DELIVERY SYSTEM (ODS) WITH PROC SQL

PRACTICAL PROBLEM-SOLVING WITH PROC SQL

OVERVIEW

COMPUTING A WEIGHTED AVERAGE

COMPARING TABLES

OVERLAYING MISSING DATA VALUES

COMPUTING PERCENTAGES WITHIN SUBTOTALS

COUNTING DUPLICATE ROWS IN A TABLE

EXPANDING HIERARCHICAL DATA IN A TABLE

SUMMARIZING DATA IN MULTIPLE COLUMNS

CREATING A SUMMARY REPORT

CREATING A CUSTOMIZED SORT ORDER

CONDITIONALLY UPDATING A TABLE

UPDATING A TABLE WITH VALUES FROM ANOTHER TABLE

CREATING AND USING MACRO VARIABLES

USING PROC SQL TABLES IN OTHER SAS PROCEDURES

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What Will You Learn?

  • SAS is a statistical software that is used for data analysis, business intelligence, and predictive analytics. The software is popular among statisticians, data analysts, and researchers. SAS training programs offer many benefits to students, including:
  • Learn to use SAS for data analysis: SAS training programs teach students how to use the software for various data analysis tasks such as regression analysis, time series analysis, and survival analysis.
  • Understand Business Intelligence concepts: Students will learn about key concepts in business intelligence such as data warehousing, OLAP cubes, and data mining.
  • Get hands-on experience with the software: Most SAS training programs include exercises and projects that give students practical experience with the software. This is an important benefit because it helps students understand how to use SAS in a real-world setting.
  • Prepare for a career in SAS: After completing a SAS training program, students will be well-prepared for a career in fields such as statistics, data analytics, or business intelligence.

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