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Foundations of Data & AISAS Certification Course for Beginners

Side view of a woman wearing glasses and working on dual computer monitors displaying programming code, symbolizing data engineering and coding for AI and analytics.

The Foundations of Data & AI Course from SAS Academy builds hands-on skills in data analytics, SAS and Python programming, statistics, data preparation and transformation, and Responsible AI. 

Beginner-friendly | Start from scratch | SAS + Python | Online weekends | 2 months | Certification Program | Academy Certificate | SAS Digital Badges | Official content


Designed for beginners and working professionals, this weekend online certification program builds strong foundations for careers in Data Analytics, Data Science, and AI in India.

Why Choose this AI Foundations Program

This program builds the core foundation required before progressing to advanced AI and machine learning programs.

  • Enterprise analytics tools → Learn programming using SAS, widely used across industries.
  • ·Core data skills → Access, prepare, and analyse data in structured workflows.
  • ·Responsible AI concepts → Understand bias, fairness, and governance in AI systems.
  • ·Statistics for analysis → Build statistical thinking for interpreting data.
  • ·Certification aligned learning → Prepare for globally recognised SAS programming certifications.

Career Outcomes

After completing the Foundations of Data & AI program, learners build the skills required for entry-level roles in data and analytics.

Data Analyst: Work with data preparation, analysis, and reporting

Reporting Analyst: Create dashboards and business reports for decision-making

Statistical Programmer: Apply statistical methods and work with structured datasets

Junior Machine Learning Associate: Support model building and basic AI workflows

Who This Program Is For

This program is ideal for individuals beginning their journey into analytics, data science, or artificial intelligence.

  • Students preparing for analytics or AI careers
  • Early career professionals entering data roles
  • Business analysts strengthening technical skills
  • IT professionals transitioning into analytics or data science
  • Professionals preparing to progress into AI and Machine Learning programs

No prior programming experience is required.

Program Syllabus

This 2-month (60 hours) duration program syllabus builds essential foundations in Artificial Intelligence through practical skills in data preparation, basic statistics, analytics workflows, and introductory programming using SAS and Python.

Detailed Syllabus

Introduction to Analytics & AI

  • Overview of analytics and AI landscape
  • Key concepts in data-driven decision making
  • Introduction to Generative AI fundamentals


Responsible Innovation and Trustworthy AI

  • Understand the AI and analytics lifecycle and data supply chain
  • Identify bias across data and model workflows
  • Principles of Responsible AI: fairness, accountability, transparency, privacy, robustness
  • Governance and ethical AI practices
  • How SAS enables responsible innovation


SAS Programming 1: Essentials

  • Use SAS Studio and SAS Enterprise Guide to write and execute programs
  • Access data from SAS, Excel, and text files
  • Explore and validate data (sorting, filtering, formatting, deduplication)
  • Data preparation: subsetting, creating new variables
  • Generate reports using frequency counts and summary statistics
  • Export outputs to Excel, PDF, and other formats
  • Use SQL in SAS to query and join datasets


SAS Programming 2: Data Manipulation Techniques

  • Understand and control DATA step processing
  • Create cumulative and group-based calculations
  • Work with numeric, character, and date functions
  • Convert and format data types
  • Create and apply custom formats
  • Merge, concatenate, and restructure datasets
  • Use loops (DO loops) for repetitive processing
  • Transform data using TRANSPOSE and advanced techniques


Fundamentals of Statistics

  • Understand data distributions and normality
  • Compute and interpret descriptive statistics
  • Confidence intervals and estimation
  • Hypothesis testing fundamentals
  • Use SAS procedures for statistical analysis


Python Fundamentals for Data Science

  • Core Python concepts for data handling
  • Working with datasets in Python
  • Preparing data for analysis
  • Python for AI and analytics readiness

Learning Experience & Support

  • Live weekend online classes
  • Instructor guidance from SAS experts
  • Hands-on exercises and datasets
  • Official SAS course material
  • Practice assessments and certification preparation resources
The instructors explained concepts clearly using visuals and real-world examples, which made complex ideas easier to understand and apply." Abigail Mukerjee, SAS Academy Graduate

Certifications & Credentials

This program prepares learners for globally recognised SAS certifications:

  • SAS Certified Associate: Programming Fundamentals Using SAS® 9.4
  • SAS Certified Specialist: Base Programming Using SAS® 9.4

Learners also receive SAS Digital Badges and SAS Academy Track Completion Certificate upon successful completion.

  • Image of SAS Certified Digital Badge issued on clearing the Certification exam.
  • SAS Knowledge Badge


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FREQUENTLY ASKED QUESTIONS (FAQS)

Explore answers to the most common questions about the SAS Academy’s beginner-level online AI certification course, including detailed syllabus, fees, duration, schedule and more.

1. Why is this one of the best beginner courses in data analytics and AI?

This SAS certificate program is designed to take beginners from first principles to real, job-ready skills in data analytics and AI. Learners work with SAS and Python across data preparation, transformation, reporting, and analytics workflows used in real-world environments.

The program goes beyond basic introductions by covering structured workflows, statistics, and Responsible AI concepts. It is also aligned to globally recognised SAS certifications, helping build both practical capability and credible, industry-recognised credentials.

2. Is the program suitable for working professionals?

This online data analytics and AI course is designed to fit around full-time work, with live weekend sessions that avoid weekday conflicts. If a session is missed, recordings are available for review.

Learners also get 12 months of e-learning access and official course material, allowing continued learning at their own pace. Hands-on labs and certification preparation sessions provide a structured path to build skills alongside work responsibilities.

3. Can beginners with no coding experience take this course?

This program is designed for beginners and does not require any prior coding or analytics experience. It starts from fundamentals and teaches programming using SAS and Python step by step.

Learners begin with basic data handling and gradually progress to data preparation, transformation, and analysis through structured workflows, making it accessible while building practical, job-relevant skills.

4. How does SAS Certification help with career prospects?

This beginner data analytics and AI course from SAS includes globally recognised certification, SAS Digital Badges, and an Academy Certificate, helping you demonstrate job-ready skills to employers worldwide.

SAS certifications are widely recognised across industries and help professionals prove credibility, gain career advantage, and access new job opportunities. Research shows that 64% of certified professionals reported a promotion or salary increase, and 81% felt more confident exploring new roles after certification.

5. What jobs can I target after completing this course?

This beginner data analytics and AI course prepares you for placements into entry-level roles such as Data Analyst, Reporting Analyst, Statistical Programmer, and junior AI or machine learning support roles.

Learners gain hands-on experience using SAS and Python for data preparation, analysis, and reporting workflows used in real roles. The program also includes certification-focused preparation aligned to SAS credentials, helping strengthen your profile for entry-level opportunities.

Read: Why Enterprises Still Use SAS for Mission-Critical Analytics →

6. Is SAS eLearning course available?

For professionals who prefer flexible, on demand eLearning, SAS offers structured Learning subscriptions. These include certification preparation, hands-on lab access, and official course content delivered online.

  • SAS Programming Learning Subscription
  • SAS Advanced Programming Professional Subscription
  • SAS Statistics Foundations Learning Subscription

For details, please contact SAS India Education Advisor

7. What can I do next after completing this course?

After completing this beginner data analytics and AI course, you can progress to advanced tracks under the SAS Academy for Data & AI Excellence, depending on your career goals.

You can move into Applied AI & ML with GenAI and Agentic AI or Applied Data Engineering for Generative and Agentic AI Systems, helping you specialise in AI, machine learning, or data engineering.

Read: SAS Academy Beginners Guide to AI Learning Roadmap in 2026 →

About SAS

SAS is a global leader in analytics and artificial intelligence.

  • 80,000+ organisations worldwide use SAS software
  • 90% of Fortune 100 companies or their affiliates are SAS customers
  • Recognised by analyst firms including Gartner, IDC, and Forrester for leadership in analytics and AI
  • SAS technology powers analytics, fraud detection, risk management, marketing optimisation, and AI-driven decision systems across industries

SAS certifications validate enterprise-ready analytics and programming skills used in real production environments.