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Batch Date: Nov 7th @7:00AM

Faculty: Mr. Sameer (10+ Yrs of Exp,.. & Real Time Expert)
(Leading Faculty in Twin Cities)

Duration : 75 Days

Venue :
DURGA SOFTWARE SOLUTIONS at Maitrivanam
Plot No : 202, IInd Floor ,
HUDA Maitrivanam,
Ameerpet, Hyderabad-500038.

Ph.No: +91 - 9246212143, 80 96 96 96 96

Syllabus:

SAS
(SAS Data Warehousing - Designing Statistical Analysis - Reporting --- Cloud Integration)

Module - 1:

• What is OLAP
• What is OLTP
• What is SAS
• Use Of SAS Software
• Data Warehousing Concepts.
• Designing and Developing Data warehouse.
• What is Data Mining, Data Filtering and Data Curation?
• What is Multidimensional Analysis and Data Visualization (Reports?)
• What is BI and AI Detail Explanation?
• Development of Dashboards (Reports)
• What is Predictive data Analysis and Machine Learning?
• What is Data science and Application using SAS?

Module - 2:

SAS CLINICAL

• What is Clinical Data Analysis?
• What is Clinical Research?
• Deep Learning and understanding about Clinical data engineering
• What is Clinical Data Management and how it takes place.
• Detailed understanding about CDISC & SDTM
• Detailed Learning about ADAM, SAP, TLF
• Designing and understanding the Statistical Analysis Plan
• What is SOP (Standard Operating Procedures?)
• Difference between RDBMS to CDM Systems
• SAS Work Flow in Clinical Research Study

Module - 3:

SAS BFSI

• What is Banking Finance Domain?
• What is Financial Data Management?
• What is Risk Management?
• What is Retail Banking?
• What Is Risk Management in Anti-Money Laundering?
• Designing of Predictive Models for Banking Service
• What is Stock market and how the predictive models are develop for the same.
• How to Use the Financial Management.

Module - 4:

• Howto Integrate and fetch the data from Cloud environment
• What is Cloud and On-premises data?
• What to extract the data from On-premises to Cloud
• What is Cloud Computing?
• How to integrate the SAS with Azure Data Engineering and Application of
  ML and AI on clouds and On-premises
• How to extract the SAS Reports and Report in Cloud Environment.

Module - 5:

• BASE SAS PROGRAMMING ALL MODULES COVERED
• SAS/BASE
• SAS/ACCESS
• SAS/CONNECT
• SAS/OLAP STUDIO
• SAS/WAREHOUSE ADMIN
• SAS/ASSIST
• SAS/AF
• SAS/IML
• SAS/EIS
• SAS/ETS
• SAS/STAT
• SAS/GRAPH
• SAS/OR
• SAS/EG
• SAS/EM
• SAS/DI-STUDIO

Module - 6:

• SAS OUTPUT DELIVERY SYSTEM
• CREATING TABLES USING ODS
• GENERATE Various types of Statistical Graphs using SAS/GRAPH
• GENERATE GCHART,GPLOT,GBARLINE,V-BAR,H-BAR,SGPLOT
• GENERATE the output report in third party format (RTF,PDF,XML and HTML)

Module - 7:

• SAS ADVANCED PROGRAMMING CONCEPTS

SAS/SQL

• Introduction to SQL Language
• DDL Command
• DML Command
• DQL/DRL Command
• TCL Command
• SCL Command

DQL/DRL

• Simple Queries
• Joining Data
• Working with Tables and Indexes
• Using of PROCEDURE SQL

Module - 8:

SAS/MACRO PROGRAMMING

• Usage of MACRO Language in SAS
• Role of MACRO in SAS
• Introduction to Tokenizing ,Compiling and executing a SAS Program
• Macro Processor
• Applying the automatic Macro variables
• Creating the user defined Macro Variables
• Calling the Macro Variables
• Using of Macro Variable in Data Step Program
• Creating the Macro Programs
• Calling of Macro Variable Inside a Macro Program
• Local Symbol Tables and Global Symbol tables
• Nested Macro
• Macro Functions
• Reusing the Macro Programs

Module - 9:

• DEBUGGING THE SAS PROGRAMS
• LOST CARD
• INVALID DATA
• FIXING THE PROGRAM

Module - 10:

• Project on Clinical Trials with End to End Implementation
• Project on BFSI With End to End Implementation
• Project on Cloud Integration to Azure,AWS,GCP using SAS
• Project On Cross Cloud Computing using SAS