SAS Certified Data Scientist

  • 100% Job Assistance
  • Live Practical Lab
  • Practical Case Study
  • Soft Skill Training
  • SAS Certified

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Big Data Professional Highlights

  • Critical SAS programming skills.
  • Fundamentals of statistics and analytics.
  • Working with Hadoop, Hive, Pig and SAS.
  • Exploring and visualizing data.
  • Improving data quality for reporting and analytics.

AI & Machine Learning Highlights

  • Machine Learning using SAS Viya
  • Natural Language & Computer Vision
  • SAS Visual Text Analytics
  • Deep Learning
  • Forecasting & Optimization

Course Curriculum

Credential 1: SAS Certified Big Data Professional
Module 1: Big Data Preparation, Statistics and Visual Exploration
It prepares you for the SAS Big Data Preparation, Statistics and Visual Exploration Certification Exam.
  • Course 1: Big Data Challenges and Analysis-Driven Data
  • Course 2: Exploring Data With SAS Visual Analytics
  • Course 3: Statistics 1: Introduction to ANOVA, Regression and Logistic Regression
  • Course 4: Preparing Data for Analysis and Reporting
  • Course 5: Crafting Compelling (and true) Data Stories

Module 2: Big Data Programming and Loading
It prepares you for the SAS Big Data Programming and Loading certification exam.
  • Course 1: Introduction to SAS and Hadoop: Essentials
  • Course 2: DS2 Programming Essentials With Hadoop
  • Course 3: Hadoop Data Management With Hive, Pig and SAS
  • Course 4: Getting Started With SAS In-Memory Statistics
Credential 2: SAS Certified AI & Machine Learning Professional
Course Preparation
Programming for SAS® Viya®
Self-Service Data Preparation in SAS® Viya®
Neural Networks: Essentials
Overview on R & Python
Module 1: Machine Learning Using SAS® Viya®
It prepares you for the SAS Certified Specialist: Machine Learning Using SAS Viya 3.4 certification exam
Course 1: Machine Learning Using SAS® Viya®
Module 2: Natural Language and Computer Vision
It prepares you for the Natural Language & Computer Vision Specialist certification exam
Course 1: SAS® Visual Text Analysis in SAS® Viya®
Course 2: Deep Learning Using SAS® Software
Module 3: Forecasting and Optimization
It prepares you for the SAS Certified Specialist: Forecasting and Optimization Using SAS Viya 3.4 certification exam
Course 1: Forecasting Using Model Studio in SAS® Viya® 3.4
Course 2: Optimization Concepts for Data Science and Artificial Intelligence

SAS Accredited Trainers

All courses are conducted only by SAS Accredited Trainers, which means that besides being experts in their subject matter, they communicate the SAS official curriculum effectively using internationally accepted and proven instructional skills. Our trainers are also actively involved in implementation projects that we undertake, hence have significant industry expertise. They deliver Corporate trainings.

Why Choose Us

Live Practical Lab


Practical Case Study

Course Enrollment Steps

• Step 1 - Register your interest
To register your interest for the academy, kindly fill the form available on this page.

• Step 2 - Counselling with our Expert
There will be 1 to 1 discussion held with our Academy counsellor

• Step 3 - Selection for the academy
Final round of discussion to be held with SAS Academy expert

Upcoming Batches

  • 25th April 2020
SAS is a trusted analytics powerhouse for organisations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

According to a massive study from MONEY and, SAS Analytics skills are the most valuable skills to have in today’s job market. The study “analysed 54 million employee profiles, across 350 industries, with 15,000 job titles—from entry-level workers to top execs.” The result is a list of top 21 skills considered to be the most valuable by employers, with SAS skills topping the list. The study attributes this to the rise of big data, adding, “…companies can use this information to do things like target new customers, improve service, and offer more personalised products—as long as they employ folks who understand how to organise, analyse, and apply it. Career opportunities abound as demand for SAS talent soars at more than 80,000 customer sites around the world.”
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