Data Science with SAS Training

Upcoming Batch Schedule for Data Science with SAS Training in Chennai

Besant Technologies provides flexible timings to all our students. Here is the Data Science with SAS Training Classes in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

• 25-11-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 21-11-2024 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
• 23-11-2024 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees

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Syllabus of Data Science with SAS Course in Chennai

Overview of SAS

• Introduction and History of SAS
• Significance of SAS software solutions in various industries
• Demonstrate SAS Capabilities
• Job Profile/career opportunities with SAS worldwide?

Base SAS Fundamentals

• Explore SAS Windowing Environment
• SAS Tasks
• Working with SAS Syntax
• Create and submit a SAS sample program

Data Access & Data Transformation

• Accessing SAS Data libraries
• Getting familiar with SAS Data set

Reading SAS data set

• Introduction to reading data
• Examine the structure of the SAS data set
• Understanding of SAS works

Reading Excel worksheets

• Using Excel data as input
• Create a sample program to import and export excel sheets

Reading Raw data from External File

• Introduction to raw data
• Reading delimited raw data file (List Input)
• Using standard delimited data as input
• Using nonstandard delimited data as input
• Reading raw data aligned to columns (Fixed or column input)
• Reading raw data with special instructions (Formatted input)

Writing to an External file

• Write data values from SAS data set to an external file

Data transformations (Data step processing)

• Create multiple output datasets from single SAS dataset
• Writing observations to one or more SAS datasets
• Controlling which observations and variables to be written to output data

Creating a subset of observations using

• Where condition
• Conditional processing using: IF statements

Processing Data Iteratively

• Iterative DO loop processing with an END statement
• DO WHILE & DO UNTIL Statement
• SAS Array statement

Summarizing data

• Creating and Accumulating total variable (Retain)
• Using Assignment statement
• Accumulating totals for a group of data (BY group)

Manipulating Data

• Sorting SAS data sets
• Manipulating SAS data values
• Presentation of user-defined values /data/currency values using FORMAT procedure
• SAS functions to manipulate char and num data
• Convert data type form char-to num and num-to-char
• SAS variables lists/ SAS variables lists range
• Debugging SAS program
• Accessing observations by creating an index

Restructuring a SAS data set

• Rotating with the data step
• Using the transpose procedure

Combining SAS data sets

• Concatenation
• Interleaving
• One to one reading
• One to one merging (with non-matching)
• Match merging (Merging types with IN=option)

SAS Access & SAS Connect

• Validating and cleaning data
• Detect and correct syntax errors
• Examining data errors

Analysis & Presentation

• SAS/REPORTS SAS/GRAPH
• SAS/STATS SAS/ODS

Producing detailed /Summary Reports

• Freq Report
• Means Report
• Tabulate Report
• Proc report
• Summary report
• Univariate report
• Contents report
• Print report
• Compare proc
• Copy proc
• Datasets proc
• Proc append
• Proc delete

Generating Statistical Reports using

• Regression proc
• Uni/Multivariate proc
• Anova proc

Generating Graphical reports using

• Producing Bar and Pie charts (GCHART Proc)
• Producing plots (GPLOT Proc)
• Presenting Output Report result in:
• PDF
• Text files
• Excel
• HTML Files

SAS/SQL Programming

• Introduction and overview of SQL procedure
• Proc SQL and Data step comparisons

Basics Queries

• Proc SQL syntax overview
• Specifying columns/creating new columns
• Specifying rows/subsetting on rows
• Ordering or sorting data
• Formatting output results
• Presenting detailed data
• Presenting summarized data

Sub Queries

• Noncorrelated subqueries
• Correlated subqueries

SQL Joins (Combining SAS data sets using SQL Joins)

• Introduction to SQL joins
• Types of joins with examples
• Simple to complex joins
• Choosing between data step merges and SQL joins

SET Operators

• Introduction to set operations
• Except/Intersect/Union/Outer union operator

Additional SQL Procedures features

• Creating views with SQL procedure
• Dictionary tables and views
• Interfacing Proc SQL with the macro programming language
• Creating and maintaining indexes
• SQL Pass-Through facility

SAS Macro Language

• Introduction to macro facility
• Generate SAS code using macros
• Macro compilation
• Creating macro variables
• Scope or macro variables
• Global/Local Macro variables
• User-defined /Automatic Macro variables
• Macro variables references
• Combing macro variables references with text
• Macro functions
• Quoting (Masking)
• Creating macro variables in 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
• Macro parameters
• Strong Macro using Autocall Features
• Permanently storing and using stored compiled macro program
• SAS Macro debugging options to track problems

Basics Statistics

• Standard deviation
• Correlation Coefficients
• Outliers
• Linear regressions
• Clustering
• Chi-Square

Trainer Profile of Data Science with SAS Training in Chennai

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

• More than 7+ Years of Experience.
• Trained more than 2000+ students in a year.
• Strong Theoretical & Practical Knowledge.
• Certified Professionals with High Grade.
• Well connected with Hiring HRs in multinational companies.
• Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
• Trainers have Experienced on multiple real-time projects in their Industries.
• Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

Data Science with SAS Exams & Certification

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

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