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.
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.
Introduction to Base SAS, Installation of SAS tool, Getting started with SAS, various SAS Windows – Log, Explorer, Output, Search, Editor, etc. working with data sets, overview of SAS Functions, Library Types and programming files
Import/Export Raw Data files, reading and sub setting the data set, various statements like WHERE, SET, Merge
Hands-on Exercise – Import Excel file in workspace, Read data, Export the workspace to save data
Various SAS Operators – Arithmetic, Logical, Comparison, various SAS Functions – NUMERIC, CHARACTER, IS NULL, CONTAINS, LIKE, Input/Put, Date/Time, Conditional Statements (Do While, Do Until, If, Else)
Hands-on Exercise – Apply logical, arithmetic operators and SAS functions to perform 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
Output should be four datasets
Project 2 – Build revenue projections reports
Objective – This project will give you hands-on experience in working with the SAS data analytics and business intelligence tool. You will be working on the data entered in a business enterprise setup, aggregate, retrieve and manage that data. You will learn to create insightful reports and graphs and come up with statistical and mathematical analysis to scientifically predict the revenue projection for a particular future time frame. Upon completion of the project you will be well-versed in the practical aspects of data analytics, predictive modeling, and data mining.
Project 3 :- Impact of pre-paid plans on the preferences of investors
Domain: Finance Market
Objective – The project aims to find the most impacting factors in preferences of pre-paid model, also identifies which are all the variables highly correlated with impacting factors
Problem Statement :
Project 4 :- k-Means Cluster analysis on Iris dataset
Objective – k-Means Cluster analysis on Iris dataset to predict about the class of a flower using its petal’s dimensions
Intellipaat is the leader in Business Intelligence tools training. This SAS training will help you be a master of the business intelligence and analytics domains. This training will help you understand SAS functions, work with databases and spreadsheets, data manipulation and debugging. You will also learn about various data modeling, data mining, visualization and predictive analysis techniques. The entire course content is in line with clearing the SAS Certified Base Programmer Exam.
You will be working on real time projects in this SAS course that have high relevance in the corporate world, step by step assignments and curriculum designed by industry experts. Upon completion of the training course you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees. Hence it is clearly a one-time investment.
This SAS course is designed for clearing the SAS Certified Base Programmer Exam. The entire training course content is in line with the certification program and helps you clear the certification exam with ease and get the best jobs in the top MNCs.
As part of this Base SAS Certification training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.
At the end of this Base SAS Certification training program there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better marks in certification exam.
Intellipaat Course Completion certificate will be awarded on the completion of Project work (on expert review)and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
A renowned Data Scientist who has worked with Google and currently working at ASCAP. Samanth has a proven ability to develop Data Science strategies that have a high impact on the revenues of organizations. He comes with strong Data Science expertise and has created decisive Data Science strategies for Fortune 500 Corporations.
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