SAS Training Course In Mumbai

SAS Training Course In Mumbai | SAS Classes Mumbai

No 1 training institute for SAS training course in Mumbai. Get practical hands-on experience in SAS with real-time projects. Become an expert with our SAS training course. We make sure you get an experience level like a 1-2 year old SAS developer.

SAS Training Course in Mumbai

 

WHAT IS SAS?

SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS language. In order to use Statistical Analysis System, Data should be in an spreadsheet table format or SAS format.

SAS programs have a DATA step, which retrieves and manipulates data, usually creating a SAS data set, and a PROC step, which analyzes the data. Moreover, SAS has an unshakeable leadership in data mining and predictive analysis.

 

BENEFITS OF SAS:

At the end of this SAS training course in Mumbai, you will be able to:

  • Simplify data preparation.
  • Quickly and easily create better models.
  • Put your best models into service. Fast.
  • Learn Modern, industry-specific techniques.
  • Flexible processing and deployment.

 

WHAT YOU WILL LEARN FROM THIS COURSE:

When you learn SAS course with us, you get to :

  • Interact with your data quickly and intuitively using dynamic charts and graphs to understand key relationships.
  • Use drag-and-drop interface that’s both easy-to-use and powerful.
  • Spend less time and effort scoring new data using automated, interactive processes that work in both batch and real-time environments.
  • Industry-specific algorithms (for credit scoring, clinical data analysis, etc.).

 

COURSE MODULE:

The content of SAS training in Mumbai course is as below.

Training Schedule – SAS Training Course Mumbai

SAS Fundamentals
  • Components of SAS.
  • Understanding SAS Windows.
  • Navigating in SAS Console.
  • SAS Language Input Files.
  • Data Step Processing.
  • Data Sets.
  • Combining and Modifying Datasets.
  • Concatenating Datasets.
  • Interleaving Methods.
Data Manipulation in SAS
  • Reading Raw Data Files: COLUMN.
  • Reading Raw Data Files: FORMATTED.
  • Reading Raw Data Files: LIST.
  • Controlling Processing of Data with INFILE Statement.
  • Exploring Components of INPUT Statement.
  • Column, Line Pointer, Trailing @ Controls.
  • Exploring SAS Libraries.
  • Temporary and Permanent Libraries.
  • Reading Data with Missover, Truncover.
  • Reading Data with Stopover, Flowover.
  • Reading Data with DSD and DLM.
  • DATA Step Processing.
  • Phases: Compilation and Execution.
  • Understanding Program Data Vector (PDV).
  • SAS Data Sets and Descriptor Portions.
  • Storage of SAS Files.
SAS Statements
  • System Options.
  • Data Set Options.
  • Statement Options.
  • Informats and Formats.
  • SAS Statements: Attrib and Datalines.
  • SAS Statements: Delete, Drop, and Keep.
  • SAS Statements: Label, Length, Retain, Sum, and Dim.
SAS OPTIONS
  • Studying Data Set Options.
  • Data Set Options: KEEP, DROP, RENAME, FIRSTOBS.
  • Data Set Options: OBS, IN, LABEL, WHERE.
  • Exploring SAS System Options.
  • SAS System Options – OBS, FIRSTOBS, BUFNO, BUFSIZE.
  • SAS System Options – LINESIZE, PAGESIZE, NODATE, YEARCUTOFF.
SAS Functions
  • Understanding SAS Functions.
  • SAS Functions: INPUT and PUT.
  • SAS Functions for Date and Time: MONTH, YEAR, DAY.
  • MDY, DATE, TODAY, DATETIME.
  • SAS Functions: SCAN, SUBSTR, TRIM, LEFT, RIGHT, INDEX.
  • SAS Functions: UPCASE, LOWCASE, MEAN, COMPRESS, LENGTH.
Arrays in SAS
  • Understanding Arrays.
  • How to Create Variables using Arrays?
  • How to Assign Initial Values to Arrays?
  • Exploring Multidimensional Array.
Conditional Processing
  • Understanding Conditional Processing.
  • Subsetting IF.
  • IF-THEN/ELSE Statement.
  • Implementing DO statement.
  • Nesting of the DO Loop.
  • DO UNTIL and DO WHILE Statement.
Data Manipulation
  • Exporting Data.
  • Creating Standard and Comma-delimited Raw Data Files.
  • Connecting to Servers.
  • Connecting to SQL Server.
  • FTP through SAS.
  • Merging and Appending Data.
  • Exploring SET and MERGE Statements.
  • Studying MODIFY and UPDATE Statements.
  • Implementing WHERE Statement.
  • Difference between WHERE and IF Statements.
  • RETAIN and RETURN Statements.
  • SAS Procedures: Analysis and Report Generation.
  • Defining PROC SQL.
  • Proc Print and Proc Sort.
  • Proc Means and Proc Contents.
  • User-defined Formats.
  • User-defined Titles & Footnotes.
  • Retrieving Data from a Table.
  • Selecting Columns in a Table.
  • Retrieving Data from Multiple Tables.
  • Selecting Data from Multiple Tables.
  • Concatenating Query Results.
  • Date/Time Functions.
  • Missing Value Treatment.
  • Handling Missing Value.
  • SCAN Function.
SAS MACROS
  • Understanding SAS Macros.
  • Need for SAS Macros.
  • Storing SAS Macros.
  • SAS Macros Functions.
  • SQL Clauses for SAS Macros.
  • Calling Macros.
  • Understanding Macros Variables.
  • What are Macro Parameters?
  • Macro Quoting Techniques.
  • Studying Macro Debugging Technique.
  • The % Macro Statement.
  • The Conditional Statement.
  • Error Handling in SAS.
  • Programming Logic Errors.
  • Identifying and Resolving Errors.
  • Recognizing and Correcting Syntax Errors.
Statistics & Stastical Procedure
  • Statistics and Statistical Terms.
  • Procedures in SAS for Descriptive Statistics.
  • Hypothesis Testing.
  • Parametric and Non-Parametric Tests.
  • Parametric Tests – Advantages and Disadvantages.
  • Statistical Procedures.
  • PROC Means, CORR, FREQ, UNIVARIATE, REG, ANOVA.
  • Defining Clustering.
  • Exploring Clustering Methodologies.
  • K Means Clustering.
  • Decision Tree.
  • Regression and Logistic Regression.
  • Time Series Analysis.
  • White Noise Process.
  • ARIMA Modeling.
  • Optimization Models.
  • PROC OPTMODEL.
Connecting to Outside World
  • FTP thru SAS.
  • Connect to different servers (SQL server etc).
  • Export data to create standard and comma-delimited raw data files.
Merging & Appending Data
  • SET and MERGE Statements.
  • MODIFY and UPDATE Statements.
  • WHERE Statement and differences with IF.
  • RETAIN and RETURN Statements.
Projects
  • Work on Projects.
Placement Training
  • Preparing for interview questions and training for your corporate life.
Total Training Hrs 20-25 (2 Hrs/Day).
Batches Weekdays (Morn/Even).
Week Ends.

 

CERTIFICATION:

  • At the end of the SAS training course in Mumbai, you will get a SAS certification from TryCatchClasses which will be very helpful for you in your future. In order to make you an expert, we work on live projects and scenarios using SAS.

 

PLACEMENT:

  • At TryCatch Classes, we provide 100% Placement Assistance in Mumbai for SAS training course.

 

CONTACT US

If you are looking for a successful career in SAS, we invite you to visit our training facility or contact us:
CONTACT US