SAS training course in Delhi

What is SAS?

SAS is an order driven factual programming suite broadly utilized for measurable information examination and perception. Its full structure is ‘Statistical Analysis Software’. The SAS training course in Delhi is incorporated with the utilization of subjective strategies and cycles which assist you with upgrading worker profitability and business benefits. SAS is additionally utilized for cutting edge examination like business insight, wrongdoing examination, and prescient investigation. SAS is articulated as “SaaS.”

In SAS, information is extricated and classified which encourages you to distinguish and break down information designs and SAS institute in Delhi experts students in everything related to SAS in detail. It is a product suite which permits you to perform progressed investigation, Business Intelligence, Predictive Analysis, information the board to work adequately in the serious and changing business conditions. Additionally, SAS is stage free which implies you can run SAS on any working framework either Linux or Windows and above mentioned terms are taught by SAS institute in Delhi briefly.

Contrasted with other BI instruments, SAS offers broad help to automatically change and investigate information, aside from utilizing the simplified interface. SAS training course in Delhi gives extremely granular command over information control and examines which is its USP.

What are the alternatives of SAS tools?

• R: It is open-source programming. It is anything but difficult to learn R as it is very much archived. It offers solid measurable capacities.
• Python: It is another mainstream open-source scripting language. It is upholds libraries, for example, Numpy, Scipy, and MatPlotLib. You can play out any factual activity, or you can construct any model utilizing these libraries.
• SAS: It is the broadly utilized logical apparatus in the business investigation market and with the help of plenty measurable capacities and great GUI.

What are the features of SAS?

• Oversee information utilizing devices for information passage, altering recovery, designing and transformation
• Break down information utilizing clear, insights, multivariate strategies, gauging, demonstrating and direct programming
• Progressed investigation causes you to make changes and upgrades in strategic policies.
• Report arrangement with amazing diagrams
• Activities examination and venture Management
• Information refreshing and alteration
• Ground-breaking information dealing with language
• Magnificent information purging capacities
• Associate with different host frameworks

What is the architecture of SAS?

There are three architectures of SAS and SAS training course in Laxmi Nagar gives in-depth training & training is offered by certified professionals. Let’s read the three architectures of SAS carefully.

1. Client Tier

Client tier is the place where the application is introduced on a machine, where the client is sitting. It comprises of the segments which are utilized to see the entrance and its substance. It likewise incorporates a standard internet browser that is utilized to cooperate with the gateway over standard HTTP or HTTPS convention. It likewise encourages you to make the SAS web application firewall benevolent.

2. Middle Tier

The middle tier offers a unified passageway for big business data. All admittance to content is handled by parts working of this level. The division of the business rationale with show rationale encourages you to use the rationale of the center level. Also, brought together purposes of access make it simpler to implement security rules, oversee the entry and oversee code changes.

3. Back Tier

The back tier is a region where the information and calculation workers run which may contain business objects. It is a venture index worker. The endeavour index worker keeps up metadata about substance which is situated all through the venture.

SAS Training Syllabus

CONCEPTS OF SAS DATA WAREHOUSING

• What is a Data Warehouse?
• What is a Data Mart?
• What is the difference between Relational Databases and the Data in Data Warehouse (OLTP versus OLAP)
• Why do we need Data Warehouses when the Relational Source Database exists
• Multi-Dimensional Analysis and Decision Support Reporting from Data Warehouse
• Data Warehouse Architecture (ETL Design)
• Normalized Relational Database Design (Entity Relationship Model)
• Dimensional Data Modeling
• Star Schema Design
• Snowflake Schema Design
• Slowly Changing Dimensions Why SAS BI ?Capabilities of SAS B12 Advantages of SAS BI Over Base & Advance SAS
• B1 Architecture
• SAS BI Tools

INTRODUCTION OF BASE SAS

• An Overview of the SAS System
• SAS Tasks
• Output produced by the SAS System
• SAS Tools
• A sample SAS program
• Exploring SAS Windowing Environment Navigation

DATA ACCESS & DATA MANAGEMENT

• SAS Data Libraries
• Rules for Writing SAS Programs / Statements, Dataset Variable Name Getting familiar with SAS Dataset
• Data portion of the SAS Dataset
• Rules for writing Dataset names / Variable names
• Attributes of a Variable (Numeric / Character)
• Options
• System Options
• Dataset Options
• How SAS works
• Input Buffer
• Program data vector (PDV)

DATALINES OR CARDS DATA TRANSFORMATIONS

• SAS Date Values
• Length Statement
• Creating multiple output SAS datasets from singe input SAS dataset
• Conditionally writing observations to one or more SAS datasets
• Outputting Multiple Observations (Implicit Output)
• Selecting Variables and observations (DROP or KEEP statement and DROP= or KEEP = dataset options)
• Controlling which Observations are read (OBS= FIRSTOBS = Options)
• The Data Statement_Null_
• The_N_Automatic Variable
• Creating Subset of observations

READING RAW DATA FROM EXTERNAL FILE (INFILE & INPUT STATEMENT )

• Introduction to Raw Data
• Factors considered to examine the raw data
• Reading Unaligned Data (List Input)
• Reading Data Aligned to Columns (Column Input)
• Reading Data that requires Special Instructions (Formatted Input)
• Controlling the position of the Pointer in Formatted Input
• Absolute – Column pointer control (@)
• Relative- Column pointer control (+)
• Mixed Style Input (Mixing List, Input. Formatted Input styles in one INPUT Statement)
• Using colon (:) modifier to specify an informat in the INPUT Statement )
• Recognize delimiter in the raw data file (Using DLM= option in INFILE Statement
• Missing data at the end of row (Using MISSOVER option in INFILE statement )
• Missing values without placeholders (DSD option in INFILE statement)
• Reading a raw data file with multiple records per observation(Column pointer controls)
• Method1: Using Multiple INPUT statement
• Method2: Using Line Pointer Control (/)
• Reading Variables from multiple records in any order (#n)
• Line Hold Specifies in INPUT statement
• The Single Trailing @

FUNCTIONS OF SAS

• Manipulating Character Values (SUBSTRING / RIGHT / LEFT / SCAN/ CONCATENATION TRIM / FIND / INDEX / UPCASE / LOWCASE / COMPRESS / LENGTH )
• Manipulation Numeric Values ( ROUND / CEIL / FLOOR / INT / SUM / MEAN /MIN/MAX)
• Manipulating Numeric Values based on DATES ( MDY / TODAY / INTCK / YRDIF)
• Converting Variable Type
• INPUT ( character-to-numeric)
• PUT (numeric-to-character)
• Debugging SAS program (DEBUG Option)
• SAS VARIABLE Lists
• SAS Arrays
• Enhancing Report Output
• Defining Titles & Footnotes

ANALYSIS & PRESENTATION

• Descriptor portion of the SAS Data Set ( Proc. Contents)
• Producing List Reports (Proc. Print)
• Sequencing and Grouping Observations (Proc. Sort)
• Producing Summary Reports
• PROC FREQ -(One Way & Two-Way Frequencies)
• PROC MEANS
• PROC REPORT
• PROC TABULATE
• PROC SUMMARY
• PROC PRINTO
• PROC APPEND
• PROC TRANSPOSE
• PROC COPY
• PROC COMPARE
• PROC DATASETS
• Regression Procedure
• Univariate / Multivariate Procedures
• Ranking Procedure
• Producing Bard and Pie Charts
• Producing Plots
• The Output Delivery System (SAS/ODS)
• Creating HTML Reports
• Creating Text Reports
• Creating PDF Reports
• Creating CSV Files

SAS MACRO LANGUAGE INTRODUCTION TO THE MACRO FACILITY PURPOSE OF THE MACRO FACILITY

• Generate SAS code using Macros (%Macro & %Mend)
• Tips on Writing Macro-Based Programs
• Replacing Text Strings using Macros Variables (%Let)

PROGRAMS OF MACRO

• MACRO PROGRAMS
• Defining a Macro (%Macro & %Mend )
• Macro Compilation
• Monitoring Macro Compilation (MCOMPILENOTE OPTION)
• Calling a Macro (%Macro-Name)
• Macro Execution
• Monitoring Macro Execution (MLOGIC OPTION)
• Viewing the generate SAS Code in the Log from Macro Program (MPRINT OPTION)
• Macro Storage
• Macro Parameters
• Macro Parameters Lists
• Macros with Positional Parameters
• Macros with Keyword Parameters
• Arithmetic and logical Operations
• Conditional Processing
• % IF expression % THEN text ; %ELSE %TEXT;
• % IF expression % THEN %DO; %END; %ELSE; %DO;
• Stored Compiled Macros
• %INCLUDE Statement

PROCESSING OF MACRO

• Tokens
• Macro Triggers
• How the Macro-processor works

CONCEPTS OF MACRO VARIABLES

• Referencing a Macro Variable
• Displaying Macro Variable Value in the SAS log (SYMBOLGEN OPTION)
• Automatic Macro Variables
• System-Defined Macro Variables (_AUTOMATIC_)
• User-Defined Macro Variable (_USER_)
• Data type
• %LET Statement
• Global Macro variables
• Local Macro Variables
• Deleting User-Defined Macro Variable (%SYMDEL)
• Macro Functions
• Character Strings
• Other SAS Functions
• %SYSFUNC
• %STR
• Combining Macro Variable References with Text
• Macro Variable Name Delimiter
• Quoting
• Creating Macro Variables in the Data Step (CALL SYMPUT ROUTINE) Obtaining Variable value during Macro Execution (SYMGET FUNCTION)Creating Macro Variables during PROC SQL Execution (INTO Clause)
• creating a delimited list of Values

SAS SQL PROCESSING INTRODUCTION TO THE SQL PROCEDURE

• Terminology
• Features of PROC SQL
• PROC SQL Syntax (SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY)
• VALIDATE Keyword
• NOEXEC Option
• Added PROC SQL Statements (ALTER, CREATE, DELETE, DESCRIBE, DROP)
• FEEDBACK OPTION
• PROC SQL and DATA Step Comparisons
• Queries
• Retrieving Data from a table
• Identify All Rows in a Table
• Remove Duplicate Rows
• Sub setting using WHERE clause
• Sub setting with Calculated Values
• Sub setting with Calculated Values
• Enhancing Query Output (LABEL, FORMAT)
• Grouping Data (Group By)
• Analyzing Groups of data (COUNT)
• Updating Data values (Update Statement)
• Using Table Alias
• Creating Views
• Creating Dropping Indexes
• Sub Queries
• Non-Correlated Sub Query
• Correlated Sub Query
• Combining Tables
• Joins
• Inner Joins
• Outer Joins
• Left Join
• Right Join
• Full Join

SET OPERATORS

• EXCEPT
• INTERSECT
• UNION
• Choosing between Data Step Merges and SQL Joins

UNIX

• Introduction to Unix
• Introduction to UNIX Architecture
• Understanding UNIX Commands
• Understanding ID/Groups/Permissions
• Introduction to Shell Scripting
• Writing UNIX Programs
• Understanding VI Editor
• Introduction to LSF
• Scheduling SAS Codes through UNIX

SAS Course Advantages

SAS is a truly comprehensible language.

Syntax of SAS is extremely simple to learn. It tends to be adapted effectively by anybody with no programming abilities. Coding is as simpledeclarations. It resembles educating a machine what to do.

Designers completely test and examine the calculation executed in the SAS program. Each version of SAS is first tried in a controlled climate, before delivered. This is conceivable on the grounds that SAS is a shut source language.

SAS having a place with an association performs appropriate observing. It resembles a total association. It has extremely free client care. As SAS is a shut source device, it must be altered by the SAS association.

Expanding the above point, information in SAS is totally gotten. We cannot separate if there should be an occurrence of office use without a permit. Information security keeps it from control. Furthermore, this is the justification its fame in the corporate world. SAS is an essential instrument for some huge organizations.

SAS is one such language that has made measurable registering simpler for non-programming clients. It has a stunning Graphical User Interface (GUI). SAS UI has different apparatuses like diagrams, plots, and an exceptionally adaptable library.

The reality SAS is being utilized for quite a while in the business is the immense occupation possibilities. Experts learn SAS as an essential to enter the examination business. One who orders SAS can learn R and Python without any problem.