SAS Training for SAS BASE Certification - Melbourne, Australia

1. Fundamentals of SAS and its environment
2. Creating reports and graphs
3. Interactive data processing
4. Learning to deploy SAS procedures
5. SAS variables, functions and operators
6. Compiling and executing SAS datasets
7. Advanced SAS and SAS Base

• 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.

The average salary of a SAS developer goes up to £84,341 per annum in Melbourne.

Melbourne is an emerging city with a lot of top MNCs residing in this location. IT sector is booming like anything and the companies have gradually started acquiring advanced technologies for better operations. SAS is one such technology which has helped companies predict the market’s future conditions and hence is used by tech and non-tech firms as well. This has created a huge pool of job opportunities for SAS professionals in this city.

Big Data analytics has already taken the world by storm and is applied in almost every industry for various purposes. With the developing technology market Big Data has led to the emergence of smart tools like SAS which helps the firms extract meaningful insights from the bulks of data. This has made the SAS professionals some of the most coveted individuals in Melbourne.

• 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

SAS software stack is one of the most widely known analytical tools that are capable of performing analytics and forecast the future scenarios with least number of errors. Due to this reason SAS has gained immense popularity in the domain of analytics. The SAS Certification Training Course is perfectly aligned with the skills required to qualify for SAS Certified Base Programmer Exam. As part of this training the learners will be getting rich experience through lab sessions and real-time projects.

Bangalore, Chicago, Hyderabad, San Francisco, 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