The SAS Training & Certification course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.
The Edureka SAS Training & Certification certifies you as an “in demand” SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services firms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.
- Perceive Analytics with SAS
- Explain SAS GUI, datasets, import/export of manipulated data
- Gain in-depth knowledge of integrating and refining datasets
- Perform conditional and iterative looping into your SAS program
- Simplify a SAS program with SAS arrays
- Analyse statistics and perform advanced statistical techniques with SAS
- Perform automation on complex repeated tasks using MACROS
- Implement and invoke SQL queries in SAS program
- Execute ODS statement with SAS
- Build and solve models using PROC OPTMODEL
- SAS Developers
- Analytics Professionals
Other professionals, from technology field, willing to acquire a solid foundation of this widely-used Analytical language, can also opt for this course.
Type of Certification
Format of Certification
Topics - Introduction: History, SAS Windows and its contents, SAS Studio on SAS University edition, The SAS language, SASdata sets Parts of a SAS program, Modes for submitting a SAS program, How SAS language works, DATA-STEPs built-in loop, Program data vector (PDV), Getting your data into SAS, Temporary vs. permanent SAS data sets, Working with data, Creating and redefining variables.
Topics - Creating and redefining variables revisited, SAS functions: NUMERIC, CHARACTER, Working with SAS dates, DATES, SAS formats, SAS informats, PUT INPUT, Conditional variable creation.
Topics - Working with data: LOOPS, DO statement (Loop), DO-UNTIL statement, DO-WHILE statement, Working with data: Advanced topics, Retain Sum statements,Uni-dimensionalARRAYS, PROC SORTan introduction, SAS Automatic variables.
Topics - Appending datasets, Using SAS dataset option IN, Appending datasets using IN, Merging datasets, Merging scenarios through Venn diagram, Merging codes for 4 scenarios.
Topics - Using SAS PROCEDURES, PROC IMPORT, PROC DATASETS, PROC CONTENTS, PROC PRINT, PROC FREQ, PROC SORT, PROC FORMAT, PROC SURVEYSELECT, PROC TRANSPOSE, PROC MEANS, PROC SUMMARY, PROC RANK, PROC OPTIONS, PROC EXPORT.
Topics - Introductory Statistical PROCs, PROC CORR, PROC UNIVARIATE, PROC FREQ, Summarizing data using PROC MEANS, Merging summary statistics to Parent data.
Topics - Debugging, Writing programs that work, Fixing programs that do not work, Introduction to Advanced SAS - Structured Query Language, Macros.
Topics - Concepts quickly revisited, Accessing data, Working with data, Variable creation, Dataset options, Sorting Combining data , 3 Best practices when approaching a new dataset, Case study on BFSI data:, Problem statement: Building Customer Analytics Record.