Best SAS Training in Hyderabad
SAS is a powerful software tool used for data analysis and statistical modeling. If you’re looking for the best SAS training in Hyderabad, Stansys is the best option. We offer SAS training programs that are designed to meet the needs of both beginners and experienced SAS users. Our programs are taught by experienced SAS instructors who are familiar with the latest SAS software features and can help you get the most out of your SAS learning experience.
About SAS Course
SAS is a software suite that can perform statistical analysis, data visualization, and predictive modeling. It is used by many organizations to make business decisions. Stansys offers the best SAS training in Hyderabad. The course covers all the aspects of SAS programming and its application in business. The course is taught by experienced SAS professionals who have years of experience in the industry.
The course includes both theoretical and practical sessions. The theoretical part covers the concepts of SAS programming and its application in business. The practical part includes working on live projects. This helps the students to get hands-on experience working with SAS.
The course is designed keeping in mind the needs of both beginners and advanced users. It starts with SAS programming basics and moves on to advanced topics. This makes it suitable for both fresher’s and experienced professionals who want to learn SAS programming.
The course fee is very affordable and the schedule is flexible. Students can choose to study at their own pace or opt for fast-track courses.
Curriculum of SAS Course
SAS is a powerful statistical software that is used by organizations all over the world to make better decisions. The course curriculum of our SAS training covers all the features of this software so that you can use it effectively in your organization.
The course starts with an introduction to SAS and its various components. You will learn about the different types of data that can be analyzed using SAS, and the different techniques that are available for data analysis. You will also learn about the different SAS products and how they can be used together to achieve better results.
The course starts with an introduction to SAS and its various components. You will learn about the different types of data that can be analyzed using SAS, and the different techniques that are available for data analysis. You will also learn about the different SAS products and how they can be used together to achieve better results.
After completing the introductory module, you will move on to the advanced topics where you will learn about various modeling techniques, advanced statistical methods, and data mining techniques. You will also get hands-on experience with using SAS in real-world scenarios. By the end of the course, you will be well-versed in using SAS for data analysis and decision-making in your organization.
SAS Course Content
- History of SAS
- Functionality of SAS
- Architecture of SAS
- SAS Program Rules
- File Elements of SAS
- SAS Names & Rule
- Missing Data
- Types of Variables
- How SAS System Read Values into Variables
- Lengths of Variables
- SAS Windowing Environment
- SAS Program & Components of SAS Program
- Creation of Libraries
- Member Types
- Datasets
- Views
- Catalogs
- Indexes
- SAS Programming (Briefly)
- Data Step
- Proc Step
- Global Options
- Global Statements
- Backend Process of SAS Program
- Installation Process
- ETL Concepts
Benefits of SAS Training Program
SAS is a statistical software that is used for data analysis, business intelligence, and predictive analytics. The software is popular among statisticians, data analysts, and researchers. SAS training programs offer many benefits to students, including:
- Learn to use SAS for data analysis: SAS training programs teach students how to use the software for various data analysis tasks such as regression analysis, time series analysis, and survival analysis.
- Understand Business Intelligence concepts: Students will learn about key concepts in business intelligence such as data warehousing, OLAP cubes, and data mining.
- Get hands-on experience with the software: Most SAS training programs include exercises and projects that give students practical experience with the software. This is an important benefit because it helps students understand how to use SAS in a real-world setting.
- Prepare for a career in SAS: After completing a SAS training program, students will be well-prepared for a career in fields such as statistics, data analytics, or business intelligence.
SAS Online Training in Hyderabad
SAS is a powerful software tool that can be used for data analysis and statistical modeling. Stansys offers the best SAS Online training in Hyderabad, which will help you learn the software and become proficient.
Our online courses are designed keeping in mind the busy schedules of working professionals. They are flexible and can be accessed from anywhere, anytime. We also offer discounts on our online courses for those who enroll early.
The course covers all the basics of SAS programming, including data manipulation, analytics, and reporting. You will also learn how to use SAS for business applications such as forecasting, decision making, and marketing.
After completing the course, you will be able to use SAS for your own projects or research. The training will also give you an edge over other applicants when applying for jobs that require SAS skills.
SAS Training with Placement Assistance
SAS training with placement assistance is the best way to start your career in SAS programming. Stansys offers the best SAS training in Hyderabad with experienced faculty and real-time projects. The course fee is very affordable and the course duration is flexible according to your convenience.
After completing the SAS training, you will be placed in top MNCs with the help of our placement team. We provide 100% placement assistance to our students. Our tie-ups with top companies help us to place our students in good positions. If you are looking for a bright future in SAS programming, then join Stansys today!
What are the Eligibility Qualifications for SAS?
In order to be eligible for the Stansys SAS training program, applicants must have basic computer knowledge. Additionally, applicants must have a bachelor’s degree in computer science or a related field.
Stansys is the Best SAS Training Institutes in Hyderabad
SAS training is offered by many institutes in Hyderabad, but Stansys is the best. We provide world-class SAS training that is customized according to the needs of each individual. Our team of expert trainers have years of experience in providing SAS training and they are well-versed with the latest trends in the industry.
We offer both classroom-based and online SAS training courses, so that you can choose the mode of learning that suits you best. Our classroom-based courses are held at our state-of-the-art training facility in Hyderabad, which is equipped with all the necessary resources for an effective learning experience.
Why Choose Us for SAS Training?
There are many reasons to choose Stansys for SAS training in Hyderabad. We offer the best SAS training in Hyderabad with experienced faculty who have years of experience in the industry. Our course curriculum is designed to give you the skills and knowledge you need to succeed in your career.
We also offer a wide range of SAS training courses, so you can choose the one that best suits your needs. We have a team of dedicated support staff who are always available to help you with any questions or queries you may have.
At Stansys, we believe in providing our students with the best possible education and training. We offer a variety of scholarships and financial aid options to make our SAS training courses more affordable.
We also provide placement assistance to help you find the right job after completing your course. So if you’re looking for the best SAS training in Hyderabad, look no further than Stansys! Contact us today to find out more about our courses and how we can help you achieve your career goals.
SAS Base & Advance Course Content – Around 200 HOURS
WHAT IS SAS and BASICS of SAS – 12HOURS
- History Of Sas
- Functionality Of Sas
- Architecture Of Sas
- Sas Program Rules
- File Elements Of Sas
- Sas Names & Rule
- Missing Data
- Types Of Variables
- How Sas System Read Values Into Variables
- Lengths of Variables
- Sas Windowing Environment
- Sas Program & Components Of Sas Program
- Creation Of Libraries
- Member Types
- Datasets
- Views
- Catalogs
- Indexes
- Sas Programming (Briefly)
- Data Step
- Proc Step
- Global Options
- Global Statements
- Backend Process Of SAS Program
- Installation Process
- ETL Concepts
BEGIN WITH DATASTEP – 10 HOURS
- Data Step & Purpose of Data Step
- Data Statement & Dataset Options
- Infile Statement & Options
- Input Statement & Types of Input & Options
- Datalines / Cards Statement (or) Datalines4 / Cards4 Statement
- Run Statement / Quit Statement
ATTRIBUTES OF VARIABLES – 8 HOURS
- Data Types
- Label Statement
- Length Statement
- Informat Statement
- Format Statement
- How Dates Works In Sas
- System Defined / User Defined Informats & Formats
OTHER SAS STATEMENTS – 5 HOURS
- Keep Statement
- Drop Statement
- Rename Statement
- Replace Statement
- Sum Statement
- Retain Statement
- Goto Statement
- Link Statement
- Return Statement
- Output Statement
- Stop Statement
CONDITIONAL STATEMENTS – 4 HOURS
- If Statement
- If Then Statement
- If Then Else Statement
- If Then Delete Statement
- If Then Remove Statement
- If Then Output Statement
- If Then Do Statement
- If Then Do While Statement
- If Then Do Until Statement
- If Then Goto Statement
- Where Statement
- Operators
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Expressions
LOOPS – 5 HOURS
- Do Statement
- Do Iterative Statement
- Do While Statement
- Do Until Statement
- End Statement
- Output Statement
- Stop Statement
ARRAY – 5 HOURS
- Why Do We Need Arrays?
- Basic Array Concepts
- Array Statement
- Array References
- Variable Name Array Reference
- Using Array Indexes
- One Dimension Arrays&Multi-Dimension Arrays
- Temporary Arrays
- Sorting Arrays
- Determining Array Bounds: Lbound And Hbound Functions
- When To Use Arrays
- Common Errors And Misunderstandings
- Invalid Index Range
- Function Name As An Array Name
- Array Referenced In Multiple Data Steps, But Defined In Only One
BY – GROUP PROCESSING – 4 HOURS
- Definitions For By-Group Processing
- By-Group Processing
- Sorting Data (Proc Sort)
- By Value&By Group
- Variable And Last.Variable
- Modifying Sas Data Sets: Examples.
- Invoking By-Group Processing
- Preprocessing Input Data For By-Group Processing
- Sorting Observations For By-Group Processing
- Indexing For By-Group Processing
- How The Data Step Identifies By Groups
- Processing Observations In A By Group
- How Sas Determines First.Variable And Last.Variable
- Processing By-Groups In The Data Step
- Processing By-Groups Conditionally
- Data Not In Alphabetic Or Numeric Order
- Data Grouped By Formatted Values
COMBINING SAS DATA SETS – 10 HOURS
- Concatenation
- Interleaving
- Merge
- Update
- Modify
FUNCTIONS (100 + Functions) – 10 HOURS
- Character / String Functions
- Numeric Functions
- Date Functions
REVIEW OF DATASTEP – 2 HOURS
SAS – PROCEDURES (PROC STEP) – 1 HOUR
- What Is Proc Step
- Purpose Of Proc Step
- Types of Procedures
DATA ACCESS PROCEDURES – 4 HOURS
- Sql Pass Thru Query (Proc Sql)
- Proc Access
- Proc Dbload
- Libname Facility
- Proc Import
- Proc Export
UTILITY PROCEDURES – 15 HOURS
- Proc Contents
- Proc Setinit
- Proc Options
- Proc Pwencode
- Proc Copy
- Proc Delete
- Proc Printto
- Proc Sort
- Proc Compare
- Proc Append
- Proc Datasets
- Proc Format
- Proc Rank
- Proc Transpose
- Proc Template
- Proc Forms
- Proc Catalog
- Proc Cport
- Proc Cimport
- Proc Upload
- Proc Download
- Proc Migrate
STATISTICS &STATISTICAL PROCEDURES – 15 HOURS
- Proc Means
- Proc Summary
- Proc Univariate
- Proc Freq
- Proc Corr
- Proc Reg
- Proc Anova
- Proc Glm
- Proc Lifetest
- Proc Lifereg
- Proc Logistics
- Proc Npar1way
- Proc Ttest
REPORTING PROCEDURES – 10 HOURS
- Proc Print
- Proc Tabulate
- Proc Report
- Data Step Reporting (_Null_ Reporting)
GRAPHICAL PROCEDURES – 5 HOURS
- Proc Gchart
- Proc Gplot
- Proc Sgplot
- Proc Gis
- Proc Gmap
REVIEW OF PROCSTEP – 2 HOURS
ODS (OUTPUT DELIVERY SYSTM) – 5 HOURS
SAS DDE (Dynamic Data Exchange) – 2 Hours
DICTIONARY TABLES – 2 HOURS
LIST OF GLOBAL STATEMENTS – 3 HOURS
 LIST OF GLOBAL OPTIONS – 5 HOURS
PROC SQL – 20 HOURS
INTRODUCTION TO THE SQL PROCEDURE
RETRIEVING DATA FROM A SINGLE TABLE
RETRIEVING DATA FROM MULTIPLE TABLES
CREATING AND UPDATING TABLES AND VIEWS
PROGRAMMING WITH THE SQL PROCEDURE
PRACTICAL PROBLEM-SOLVING WITH PROC SQL
SAS/MACROS – 20 HOURS
PERFORMANCE TUNING CONCEPTS – 2 HOURS
TESTING & DEBUGGING TECHNIQUES – 2 HOURS
ERROR HANDLING – 2 HOURS
FEATURES BETWEEN SAS VERSIONS V9 – 2 HOURS
SAS WITH UNIX/LINUX ENVIRONMENT – 10 HOURS
CERTIFICATION CLASSES – 10 HOURS
SAS EG (Enterprise Guide) – 10 HOURS
PROJECTS
FREE CLASSES
Along with SAS U will get Free classes which helps to make you more Understanding to get good & quick job.
ELIGIBILITY:
Clinical / Life science /Healthcare Domain
Banking/Finance/Healthcare/Retail & Telecom Domain (Any graduate/ post graduate is eligible)
For any queries please contact STANSYS
- Definition & Purpose of ODS/
- Reports into Html, Rtf, Pdf, Excel, Csv, Ps, Xml, Markup, Css, Pcl, Output & Listing.
- Ods File Formatting Options
- General Ods Statements
- Excel XP Tagsets
- The MSOffice2K_x Tagset Adds Options to the MSOffice2K Tagset
- Exporting an XML Document Using a Customized Tagset
- CSV Tagsets
- Introduction of DDE
- DDE Preliminaries
- Starting Up Excel
- Loading and Saving a Workbook
- Inserting SAS Data
- Formatting of Excel Worksheet Cells
- Insert an Excel Macro Sheet
- Rename a Worksheet
- Get Existing Sheet Names
- What is Dictionary Tables?
- Purpose of Dictionary Tables?
- Vallopt, Vcatalog, Vcformat, Vchkcon, Vcolumn, Vdctnry, Vdest, Vengine, Vfilter,
- Vformat, Vfunc, Vgopt, Vindex, Vinfomp, Vlibnam, Vlocale, Vmacro, Vmember, Voption,
- Vsaccess, Vscatlg, Vslib, Vstable, Vstyle, Vsview, Vtable, Vtitle and Vview etc…
- X
- Dm
- Libname
- Filename
- Legend
- Symbol
- Title
- Footnote
- Ods
- Date/Nodate
- Number/Nonumber
- Orientation
- Missing
- LS (Line Size)
- PS (Page Size)
- Year cut off
- Sysprint
- Sysin
- User
- Font
- Validvarname
- Formchar
- Byline
- Compress
- Caps/Nocaps
- Source/Nosource
- Notes/Nonotes
- Repalce/Noreplace
- Firstobs
- Obs
- Buffno
- Buffsize
- Fmtsearch
- Macro
- Mstored
- SASMstore
- SASAutos
- Merror/NoMerror
- Serror/NoSerror
- Mprint/NoMprint
- Mlogic/NoMlogic
- Symbolgen/NoSymbolgen
- What Is Sql?
- What Is The Sql Procedure?
- Terminology
- Comparing Proc Sql With The Sas Data Step
- Overview Of The Select Statement
- Selecting Columns In A Table
- Creating New Columns
- Sorting Data
- Retrieving Rows That Satisfy A Condition
- Summarizing Data
- Grouping Data
- Filtering Grouped Data
- Validating A Query
- Introduction
- Selecting Data From More Than One Table By Using Joins
- Using Sub queries To Select Data
- When To Use Joins And Sub queries
- Combining Queries With Set Operators
- Introduction
- Creating Tables
- Inserting Rows Into Tables
- Updating Data Values In A Table
- Deleting Rows
- Altering Columns
- Creating An Index
- Deleting A Table
- Using Sql Procedure Tables In Sas Software
- Creating And Using Integrity Constraints In A Table
- Creating And Using Proc Sql Views
- Introduction
- Using Proc Sql Options To Create And Debug Queries
- Improving Query Performance
- Accessing Sas System Information Using Dictionary Tables
- Using Proc Sql With The Sas Macro Facility
- Formatting Proc Sql Output Using The Report Procedure
- Accessing A Dbms With Sas/Access Software
- Using The Output Delivery System (Ods) With Proc Sql
- Computing A Weighted Average
- Comparing Tables
- Overlaying Missing Data Values
- Computing Percentages Within Subtotals
- Counting Duplicate Rows In A Table
- Expanding Hierarchical Data In A Table
- Summarizing Data In Multiple Columns
- Creating A Summary Report
- Creating A Customized Sort Order
- Conditionally Updating A Table
- Updating A Table With Values From Another Table
- Creating And Using Macro Variables
- Using Proc Sql Tables In Other Sas Procedures
- Introduction To The Macro Facility
- Purpose Of The Macro Facility
- Macro Program Flow
- How To Create Macros
- Session Compiled Macros
- Autocall Macros
- Macro Variables
- Introduction To Macro Variables
- Automatic Macro Variables
- User-Defined Macro Variables
- Delimiting Macro Variable Names
- Deleting Macro Variables
- Macro Functions
- Macro Mask Functions
- Macro Definitions
- Defining And Calling A Macro
- Macro Parameters
- Macro Storage
- Data Step And Sql Interfaces-
- Creating Macro Variables In The Data Step
- Indirect References To Macro Variables
- Retrieving Macro Variables In The Data Step
- Creating Macro Variables In Sql
- Macro Programs
- Conditional Processing
- Parameter Validation
- Iterative Processing
- Global And Local Symbol Tables
- Framework For Developing Macro Applications
- Debugging And Troubleshooting
- Generating Custom Messages
- Creating Efficient Macros
- Review Of Macros
- Cpu Time
- Data Storage
- I/0
- Memory
- Programming Time
- Data Step Debugging
- Macro Debugging
- Debugging Options
- Syntax Errors
- Logical Errors
- Semantic Errors
- 1
- 1.2
- 1.3
- 2
- 3
- 4
- Getting Started with SAS in UNIX Environments
- Starting SAS Sessions in UNIX Environments
- Running SAS in a Foreground or Background Process
- Selecting a Method of Running SAS in UNIX Environments
- SAS Windowing Environment in UNIX Environments
- Interactive Line Mode in UNIX Environments
- Batch Mode in UNIX Environments
- Running SAS on a Remote Host in UNIX Environments
- X Command Line Options
- Executing Operating System Commands from Your SAS Session
- Customizing Your SAS Registry Files
- Customizing Your SAS Session by Using System Options
- Customizing Your SAS Session by Using Configuration and Autoexec Files
- Defining Environment Variables in UNIX Environments
- Determining the Completion Status of a SAS Job in UNIX Environments
- Exiting or Interrupting Your SAS Session in UNIX Environments
- Ending a Process That Is Running as a SAS Server
- Ending a SAS Process on a Relational Database
- Base Sas Certification
- Adv Sas Certification
- Getting Started with SAS Enterprise Guide
- Creating Reports
- Working with Data in the Query Builder
- Joining Two Data Files Together
- SAS Enterprise Guide Basics
- Bringing Data into a Project
- Working with Tasks
- Producing Complex Reports in Summary Tables
- Modifying Data Using the Query Builder
- Sorting and Filtering Data
- Combining Data Tables
- Basic Statistical Analysis
- BFSI (Banking, Finance, Insurance/Healthcare) – 30HOURS
- CLINICAL – 60HOURS (Along with CDISC)
- Operating System ( Windows, Unix & Linux ) – 30 Hours
- Database (Oracle Sql) – 30 HOURS
- MS-Excel (Basics, Adv, Macros, Vba, Analytics & MIS) – 60 Hours
- Statistics – 30 Hours
- Communication, Personality Development, Aptitude & Reasoning – 30 Hours
- Sc (B.Z.C, Chemistry, Biotech, Microbiology, Bio chemistry, Nutrition, Statistics)
- Sc (Clinical research, Biotech, Microbiology, Zoology, Botony, Chemistry, Statistics)
- PHARMACYÂ (B.Pharmacy, D.Pharmacy, M.Pharmacy),
- Medical (BDS, BHMS, BAMS, MBBS),
- E/B.Tech (Biotech, Bio Informatics, Computer Science).
- Sc, B.A, B.COM, CA, BBA, BBM, BCA, B.Tech, B.E
- M.Sc, M.A, M.COM, MBA, MCA, PGDM, M.Tech
FACULTY NAME: SRINIVAS
EDUCATION: MS
EXPERIANCE: 8+ YEARS OF WORK AND TEACHING IN SAS
SAS CERTIFIED CANDIDATE: BASE, ADVANCE AND CLINICAL SAS
