Who Should Attend?

Before attending this course, you should have experience using computer software. Specifically, you should be able to,

• Aspirants who want to become Data Manager and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports.
• Aspirants who want to develop skill set for building data warehouse and/or data mart while ensuring a high level of data quality and accessibility for business intelligence and data analytics applications and deliver data to the right place, at the right time, in the right form, to the right person.

Course Outline:

SAS Programming 1: Essentials

• Navigate the SAS windowing environment
• Navigate the SAS Enterprise Guide programming environment
• Read various types of data into SAS data sets
• Create SAS variables and subset data
• Combine SAS data sets
• Create and enhance listing and summary reports
• Validate SAS data sets.

SAS Programming 2: Data Manipulation Techniques

• Control SAS Data Set Input And Output
• Combine SAS Data Sets
• Summarize, Read, And Write Different Types Of Data
• Perform DO Loop And SAS Array Processing
• Transform Character, Numeric, And Date Variables.
• SAS Macro Language 1: Essentials
• Perform text substitution in SAS code
• Automate and customize the production of SAS code
• Conditionally or iteratively construct SAS code
• Use macro variables and macro functions.

SAS SQL 1: Essentials

• Query and subset data
• Summarize and present data
• Combine tables, including complex joins and merges
• Create and modify table views and indexes
• Replace multiple data and proc steps with one sql query.

SAS Programming 3: Advanced Techniques and Efficiencies

• Benchmark computer resource usage
• Control memory, i/o, and cpu resources
• Create and use indexes
• Combine data horizontally
• Use hash and hiter data step component objects and arrays as lookup tables
• Compress sas data sets
• Sample your sas data sets
• Create and use sas data views
• Safely reduce the length of numeric variables
• Create user-defined functions and informats.

SAS Data Integration Studio

• Register source data and target tables
• Create jobs and explore the functionality of the job editor
• Work with many of the various transformations
• Work with slowly changing dimensions
• Work with Loop transformations
• Create new transformations
• Examine impact analysis
• Examine exporting and importing of metadata
• Establish checkpoints in job flow
• Deploy jobs for scheduling
• Deploy jobs as SAS Stored Processes.

The fees is inclusive of:

• Fee: ₹1,30,000+GST | Duration: 136 Hours.
• Training & Digital Badge.
• Course material.
• 2 attempts of Global certification.