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Courses provided by Sankhyana Consultancy Services

Base SAS programming course helps the candidate in getting a strong understanding on using the programming environment of SAS to read various file formats, Manipulate Data, Performing analysis and create complex reports and graphs. It includes various prewritten procedures used majorly for data analysis and reporting.

Eligibility: Any Graduate

Course Duration: 1 – 3 Months

Advance SAS Programming course details on SQL procedure and SAS Macro facility.

SQL Procedure is used to query, Summarize and present data, to perform complex joins and merges, Create and modify table views and indexes. Learn to replace Multiple Data steps and PROC steps with one SQL Query.

SAS Macro facility enables to perform text substitution in SAS code. Automation and production of SAS codes conditionally or iteratively. The candidate learns to design, Write and debug macro systems and understand the importance of macro code processing.

Eligibility: Any Graduate, Base SAS

Course Duration: 1 -2 Months

Predictive Modeling is the process of creating, testing and validating a model to best predict the probability of an outcome.

SAS Predictive modelling course involves using Enterprise Guide and Enterprise Miner. The course involves training on

Enterprise Guide to

  • Generate descriptive statistics and explore data with graphs.
  • Perform ANOVA, Linear regression and assess the assumptions.
  • Perform Diagnostic Statistic analysis to identify potential outliers in multiple regressions.
  • Detect associations among categorical variables using chi-square statistics.
  • Create Models using Multiple Logistics regression.

Enterprise Miner to

  • Define SAS Enterprise Miner projects.
  • Graphically Exploring Data using.
  • Data modifying.
  • Create and understand predictive models like decision Trees and regression models.
  • Compare and explain complex Statistical Models.
  • Generate and use score code.
  • Apply association and sequence discovery to transaction data.

Eligibility: Any Graduate

Course Duration: 2 Months

Business intelligence, or BI, is an umbrella term that refers to a variety of software applications used to analyse an organization's raw data. BI as a discipline is made up of several related activities, including data mining, online analytical processing, querying and reporting.

SAS BI allows the user to build reports, analyses and dashboards for consumption by business users and other information users in the organization.

The course involves training on SAS BI Tools for

  • Using the information consumer applications in the platform for SAS Business Analytics
  • Exploring the basic data management functionality available in the SAS platform
  • Exploring the basic online analytical processing capabilities available in the SAS platform
  • Creating and exploiting dynamic value selection
  • Building advanced information maps using SAS Information Map Studio
  • Producing advanced stored processes
  • Creating advanced SAS BI Dashboard applications
  • Examining the types of metadata created in the SAS platform
  • Consolidating information into a business reporting application

Eligibility: Any Graduate

Course Duration: 2 Months

Visual analytics is an outgrowth of the fields of information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces.

The course involves training on SAS VA Tools for

  • Interacting with the Visual Analytics environment via the SAS Visual Analytics Hub
  • Accessing and preparing data for exploration, analysis, and reporting
  • Exploring data using the SAS Visual Analytics Explorer
  • Creating reports with the SAS Visual Analytics Designer
  • Using the SAS Visual Data Builder and understand the capabilities of the SAS Visual Analytics Administrator
  • Viewing reports using the SAS Visual Analytics Viewer and SAS Mobile BI

Eligibility: Any Graduate

Course Duration: 2 Months

Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data from a variety of sources.

The course involves training on SAS DI Tool For

  • Registering source data and target tables
  • Creating jobs and exploring the functionality of the job editor
  • Working with many of the various transformations
  • Working with slowly changing dimensions
  • Working with Loop transformations
  • Creating new transformations
  • Examining impact analysis
  • Examining exporting and importing of metadata
  • Establishing checkpoints in job flow
  • Deploying jobs for scheduling
  • Deploying jobs as SAS Stored Processes

Eligibility: Any Graduate

Course Duration: 2 Months

Data quality refers to the condition of a set of values of qualitative or quantitative variables. Data is generally considered high quality if it is fit for its intended uses in operations, decision making and planning.

The course involves training on DataFlux Data Management Studio tool for

  • Creating, reviewing data explorations and data profiles
  • Creating data jobs for data improvement
  • Establishing and monitoring aspects for your data
  • Working with the DataFlux Expression Engine Language
  • Creating and using custom metrics
  • Defining and using macro variables
  • Creating process jobs

Eligibility: Any Graduate

Course Duration: 2 Months

Clinical SAS provides the foundation you need to ensure standard, trusted clinical data to support strategic analyses, such as cross-study and advanced safety analysis.

The course involves training on

Clinical Research Basics

  • Clinical research - Introduction
  • Detail about data generation in clinical research
  • Frequently used Clinical Trial terminologies
  • GCP (Good Clinical Practices)
  • Overview of LOCF, BOCF & Change from Baseline

Clinical Research Tasks

  • Creating Analysis dataset specification
  • Generating Analysis dataset
  • Generating of any one of following tables for a given studies
    • Adverse event (AE)
    • Demographic (DM)
    • Medical History (MH)
    • Lab data (LB)

Eligibility: Any Graduate

Course Duration: 2 Months

R is an open source statistical package used for data analysis Statistical modelling and visualization. It is one of the most popular tools used in predictive modelling. Day by day value of R is increasing. R has ability to give accurate results and good quality of graphics. We can handle any type of data in R. There are list of packages those help u to analyze your data. If you really want to boost your career in analytics R is one of the Prime languages you need to focus on.

The course involves training on

  • Getting started with R
  • Importing and exporting data
  • Data exploration and manipulation
  • Report generation
  • Data mining
  • Statistical techniques
  • Performing descriptive and inferential statistics
  • Linear and logistic regression, variable selection
  • Dimensionality reduction, classification and clustering

Eligibility: Any Degree

Course Duration: 2 Months

Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed"

Machine learning focuses on the development of computer programs that can change when exposed to new data .It is a method of data analysis that automates analytical model building using algorithms that iteratively learn from data. Researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that’s gaining fresh momentum.

While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development.

Few of the sectors that use Machine Learning extensively are below

  1. Financial services
  2. Health care
  3. Oil and gas
  4. Government
  5. Marketing and Sales
  6. Transportation

A popular use for machine learning today is pattern recognition because it can recognize many types of images. For instance, the US Postal Service uses machine learning for handwriting recognition.

The course involves training on

  • Machine learning tasks like classification, regression and clustering
  • Data exploration and dimension reduction
  • Model development with machine learning algorithm
  • Applying predictive models to massive datasets and powerful analysis
  • Pattern reorganization
  • Text mining
  • Model assessment and scoring
  • Performance Measures

Eligibility: Any Degree

Course Duration: 2 Months

Sankhyana Consultancy services provide Internship for candidates to be trained and work on real time projects. The candidates will receive on the job training from trainers with experience in handling projects.

Internship Features:

  • Candidate is provided with one attempt for SAS Base Global Certification exam
  • Receive training on all the phases of analysis with knowledge on the practical implementation of the concepts
  • Internship Experience certificate
  • Exposure to real-time projects and challenges faced during the project
  • Experienced supervisors to lead the team
  • In-house recruitment and placement services


  • UG/PG any Graduate
  • Fresher/Experienced
  • **Candidate is required to clear an internship eligibility test


  • 10 Months with stipend after training period
  • Weekly 5 days

Video Tutorial

SAS ® tutorials to help you understand better

We are in the business of hosting great ideas

Sankhyana consulting services is Bangalore based and one of the leading organizations to provide training, staffing, consulting and service support to students, professionals and corporate Companies on SAS® and Data management tools.

Highly experienced and technically well-equipped staff, appropriate educational resources are the key factors for our success. It is a foremost technology company with services and products backed by a strong domain expertise to provide cost-effective comprehensive and multiple solutions for businesses.

Our courses and programs are designed to empower individual to meet industry demands, fuel the students' enthusiasm for higher education and professional training. Our strong industry experience in different domains has helped us to provide intellectual resource to serve their needs.

Our core competencies are Data Management, Business Intelligence, Analytics and Platform Configuration projects. Our specialised, SAS certified experts work with the very latest SAS Software providing you with the greatest pool of knowledge and experience. Your investment in SAS is fully optimised today allowing your business to benefit tomorrow.

Our Training

Interactive Training.

Base and Advanced Certified Trainers.

Learn at your preferable timing.

Customized Curriculum.

Placement Support after training.

Resume Preparation.

Guidance for both base and advanced level.

Interview preparation assistance.

SAS Certification Exam

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  • Practice Exam
  • 11 Test Papers
  • 750 Questions
  • Validity- 3 Months
  • No of Attempts- Unlimited



  • Practice Exam
  • 9 Test Papers
  • 450 Questions
  • Validity- 3 Months
  • No of Attempts- Unlimited