SAS Training for SAS BASE Certification - San Francisco, USA

1. Fundamentals of SAS
2. Compilation and Execution of datasets
3. Logical statements, operators and functions
4. Creating graphs and reports in SAS
5. SAS Advanced and SAS Base
6. SAS Enterprise Guide

• Business Intelligence professionals
• Software developers and architects
• Project managers
• ETL, SQL, data warehouse and analytics professionals
• Mainframe and testing professionals
• Graduates wanting to enter Big Data analytics

Anybody can learn SAS and get trained. Having a basic knowledge of SQL can help.

San Francisco has the strongest IT sector in the entire USA which has launched the top applications in the market. The companies of this city come out with innovative ideas and creative solutions with the help of extensive research which is possible through tools like SAS. SAS has dominated the business analytics market over the years and this is the reason behind its widespread application. Hence there is a huge career opportunity for aspirants who wish to become a SAS professional.

SAS is known to be one of the most powerful business analytics software stack that let the businesses extract deep insights from the complex web of data. The companies of San Francisco have found this technology of great use and hence the professionals having sound knowledge about this tool are hired by top MNCs with attractive paychecks in this city.

• 70% of companies say analytics is integral to how they make decisions – IBM Study
• Most companies estimate they’re analyzing a mere 12% of the data they have – Forrester Research
• A Principal SAS Programmer in United States can earn up to $102,000 –indeed.com

Intellipaat’s SAS Training Course provides in-depth knowledge and hands-on experience through interactive classrooms, lab practice sessions and project work. The course content is in line with the SAS Certified Base Programmer Exam that gives you credibility. Hence if you wish to succeed in business analytics domain, SAS Training Course will be the definite way to success.

Bangalore, Melbourne, Chicago, Hyderabad, London, Toronto, New York, India

Installation and introduction to SAS, how to get started with SAS, understanding the different SAS Windows, how to work with data sets, the various SAS Windows like Output, Search, Editor, Log, Explorer, understanding the SAS Functions, which are the various Library Types and programming files

How to import and export raw data files, how to read and subset the data sets, the different statements like SET, MERGE, WHERE

Hands-on Exercise – How to import the Excel file in the Workspace, how to read data and exporting the Workspace to save the data

The different SAS Operators like Logical, COmparison, Arithmetic, deploying the different SAS Functions like Character, Numeric, Is Null, Contains, Like, Input/Output, along with the conditional statements like If/Else, Do While, Do Until and so on.

Hands-on Exercise – Performing operations using the SAS Functions, logical and arithmetic operations.

Understanding about Input Buffer, PDV (Backend), learning what is Missover

Defining and Using KEEP and DROP statements, apply these statements, Format and Labels in SAS.

Hands-on Exercise – Use KEEP and DROP statements

Understanding Delimiter, dataline rules, DLM, Delimiter DSD, raw data files and execution, list input for standard data.

Hands-on Exercise – Use delimiter rules on raw data files

The various SAS standard Procedures built-in for popular programs – PROC SORT, PROC FREQ, PROC SUMMARY, PROC RANK, PROC EXPORT, PROC DATASET, PROC TRANSPOSE, , PROC CORR etc.

Hands-on Exercise – Use SORT, FREQ, SUMMARY, EXPORT and other procedures

Reading standard and non-standard numeric inputs with Formatted inputs, Column Pointer Controls, Controlling while a record loads, Line pointer control / Absolute line pointer control, Single Trailing , Multiple IN and OUT statements, DATA LINES statement and rules, List Input Method, comparing Single Trailing and Double Trailing.

Hands-on Exercise – Read standard and non-standard numeric inputs with Formatted inputs, Control while a record loads, Control a Line pointer, Write Multiple IN and OUT statements

SAS FORMAT statements – standard and user-written, associating a format with a variable, working with SAS FORMAT, deploying it on PROC Data sets, comparing ATTRIB and FORMAT statements.

Hands-on Exercise – Format a variable, deploy format rule on PROC DATA set, Use ATTRIB statement

Understanding PROC GCHART, various Graphs, Bar Charts – Pie, Bar, 3D, plotting variables with PROC GPLOT.

Hands-on Exercise – Plot graphs using PROC GPLOT Display charts using PROC GCHART

SAS advanced data discovery and visualization, point-and-click analytics capabilities, powerful reporting tools.

Character Functions, Numeric Functions, Converting Variable Type.Hands-on Exercise – Use Functions in data transformation

Introduction to ODS, Data Optimization, How to generate files (rtf, pdf, html, doc) using SAS

Hands-on Exercise – Optimize data, generate rtf, pdf, html and doc files

Macro Syntax, Macro Variables, Positional Parameters in a Macro, Macro Step

Hands-on Exercise – Write a macro, Use positional parameters

SQL Statements in SAS, SELECT, CASE, JOIN, UNION, Sorting Data

Hands-on Exercise – Create sql query to select and add a condition
Use a CASE in select query

Base SAS web-based interface and ready-to-use programs, advanced data manipulation, storage and retrieval, descriptive statistics.

Hands-on Exercise – Use web UI to do statistical operations

Report Enhancement, Global Statements, User-defined Formats, PROC SORT, ODS Destinations, ODS Listing, PROC FREQ, PROC Means, PROC UNIVARIATE, PROC REPORT, PROC PRINT

Hands-on Exercise – Use PROC SORT to sort the results, List ODS, Find mean using PROC Means, print using PROC PRINT

Project 1 – Categorization of patients based on count of drugs for their therapy

Domain: Health Care

Objective – This project aims to find out descriptive statistics & subset for specific clinical data problems. It will give them brief insight about BASE SAS procedures and data steps.

Problem Statement :

Count the number of patients and list of those patients

1. Who were ever on at least one of the four drugs
2. Who were ever on each of the four drugs
3. Who had never been on any drug

Output should be four datasets

1. TYPA – Contains the list of patients from problem 1
2. TYPB – Contains the list of patients from problem 2
3. TYPC – Contains the list of patients from problem 3
4. SUMMARY – – Contains the summary of counts for each of 3 problems