SAS Base Programming Training
SAS Base Programming Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Our SAS Base Programming Training is designed for those ready to dive into data analytics, providing essential skills in data manipulation, reporting, and statistical analysis. Whether you’re new to programming or looking to enhance your data skills, this course lays a strong foundation for a successful career in data analytics. Don’t miss your chance to gain in-demand SAS skills and start making data work for you!
- 10+ Courses
- 30+ Projects
- 400 Hours
SAS Base Programming Training is suitable for the following target audiences:
Data Analysts and Aspiring Analysts: Data analysts and aspiring analysts are professionals who want to learn SAS programming for data manipulation and reporting in order to launch or advance their careers in data analysis.
Researchers and statisticians: People working in statistical modeling and research who use SAS to handle and analyze complicated data.
IT Professionals and Developers: IT professionals and developers who want to include SAS into their workflows for data processing.
Students and Graduates in Data Science or Analytics: Students and recent graduates interested in a profession in data science or analytics who wish to learn SAS programming to obtain a competitive advantage.
Healthcare and Financial Analysts: Experts in the fields of healthcare and finance who depend on SAS for data-driven decision-making and regulatory reporting.
SAS Programmer: Developing and managing SAS programs for reporting and data analysis is the responsibility of an SAS programmer.
Data Analyst: Data analysis and interpretation for business decision support is the role of a data analyst.
Business Intelligence Analyst: Using SAS technologies to create dashboards and reports.
Statistical Analyst: Using SAS and statistical methods to find patterns.
Managing clinical trial data for the pharmaceutical and healthcare sectors is the responsibility of a clinical SAS programmer.
Financial Analyst: Financial modeling, risk assessment, and compliance reporting are all done with SAS.
Businesses with SAS expertise are in high demand across sectors like healthcare, finance, government, and technology, which provide competitive pay and room for advancement in data-driven positions.
- Agile Overview
- Agile Manifesto & Principles
- Agile vs. Traditional (Waterfall) Approaches
- Scrum, Kanban, XP – overview of frameworks
- Role of a Business Analyst in Agile BA responsibilities in Agile teams
- Collaboration with Product Owner, Scrum Master, Dev Team
- Scrum Deep Dive
- Roles, Events, Artifacts
- Product Backlog, Sprint Planning, Review, and Retrospective
- Kanban Basics (WIP limits, continuous flow)
- Scaling Agile (SAFe, LeSS, Nexus) – intro level
- Tools included : Jira / Trello setup basics
- Gathering Requirements in Agile
- Just-in-time requirements
- Collaborative discovery
- User Stories & Acceptance Criteria
- INVEST criteria and Definition of Ready / Done
- Story Mapping & Backlog Grooming
- Jira / Confluence Training
- Backlog creation, story linking, boards
- Wireframing & Prototyping
- Tools: Balsamiq / Figma / Draw.io
- Facilitation Techniques
- Agile workshops (Story Mapping, Impact Mapping)
- Agile Planning Levels (Roadmap, Release, Sprint planning)
- Estimation Techniques (Planning Poker, T-Shirt sizing)
- Prioritization Methods (MoSCoW, Kano Model, WSJF)
- Performance Metrics (Velocity, Burnup/Burndown charts , Lead/Cycle Time)
- BA Contribution Metrics (Requirements churn, value tracking)
- How to create and maintain Dashboards in Jira
- Case Study: Analyse sprint reports & suggest improvements
- Stakeholder Management
- Effective Communication
- Facilitation & Conflict Resolution
- Agile Project Simulation End-to-end product backlog creation
- Resume Building for Agile BA
- Mock Interviews & Job Placement
This course is ideal for aspiring Business Analysts, working professionals transitioning to Agile roles, Product Owners, Project Managers, and anyone interested in Agile practices and business analysis.
No technical background is required. The course is designed to help non-technical individuals understand Agile concepts and tools in a practical, easy-to-follow manner.
The duration for Agile Business Analyst training is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech. We also guide you on pursuing global certifications like IIBA-AAC and ICAgile-BA.
Absolutely! The course includes hands-on exercises, case studies, and a capstone project to simulate real Agile environments.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
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Job opportunities in USA and Canada
SAS Programmer: Developing and managing SAS programs for reporting and data analysis is the responsibility of an SAS programmer.
Data Analyst: Data analysis and interpretation for business decision support is the role of a data analyst.
Business Intelligence Analyst: Using SAS technologies to create dashboards and reports.
Statistical Analyst: Using SAS and statistical methods to find patterns.
Managing clinical trial data for the pharmaceutical and healthcare sectors is the responsibility of a clinical SAS programmer.
Financial Analyst: Financial modeling, risk assessment, and compliance reporting are all done with SAS.
Businesses with SAS expertise are in high demand across sectors like healthcare, finance, government, and technology, which provide competitive pay and room for advancement in data-driven positions.
