SQL Server Analysis Services Training
This training is for professionals who wish to learn how to use SQL Server Analysis Services (SSAS) for business intelligence, multidimensional data modeling, and data analysis. SSAS is a feature of Microsoft SQL Server that allows users to run sophisticated queries, maintain analytical data models, and leverage data cubes and data mining to produce business insights.
- 10+ Courses
- 30+ Projects
- 400 Hours
SQL Server Analysis Services Training is suitable for the following target audiences:
Data Analysts: Data analysts are professionals who evaluate vast amounts of data and craft intricate queries for reporting and analysis.
Business Intelligence Developers: Business intelligence developers are in charge of creating and executing SSAS-based BI systems and data models.
Database Administrators: Database administrators are DBAs who oversee, optimize, and integrate analytical services into their operations in order to manage databases.
Data Scientists: Data scientists are experts who use sophisticated analytical skills to create predictive models and conduct in-depth data analysis.
IT professionals: Those aiming to use SSAS to enhance their business intelligence and data analysis skills.
Business Intelligence Analyst: A business intelligence analyst uses SSAS to develop and oversee business intelligence solutions, such as data models and analytical reports.
Data analyst: Develops intricate queries and does data analysis using SSAS to assist in making business choices.
Business Intelligence Developer: Creates and applies OLAP cubes, data mining techniques using SSAS, and data models.
Data Warehouse Developer: Data warehouse developers construct, maintain, and integrate analytical services into data warehouses to improve reporting and data retrieval.
BI Consultant: Offers experience in helping different clients and businesses optimize their BI processes and adopt SSAS systems.
These positions, which offer excellent compensation and chances for professional progression in business intelligence and data analytics, are in demand in the USA and Canada across a variety of industries, including banking, healthcare, retail, and technology.
- 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
- Submit Form
Job opportunities in USA and Canada
Business Intelligence Analyst: A business intelligence analyst uses SSAS to develop and oversee business intelligence solutions, such as data models and analytical reports.
Data analyst: Develops intricate queries and does data analysis using SSAS to assist in making business choices.
Business Intelligence Developer: Creates and applies OLAP cubes, data mining techniques using SSAS, and data models.
Data Warehouse Developer: Data warehouse developers construct, maintain, and integrate analytical services into data warehouses to improve reporting and data retrieval.
BI Consultant: Offers experience in helping different clients and businesses optimize their BI processes and adopt SSAS systems.
These positions, which offer excellent compensation and chances for professional progression in business intelligence and data analytics, are in demand in the USA and Canada across a variety of industries, including banking, healthcare, retail, and technology.
