SAP Analytics Cloud Training
Participants in SAP Analytics Cloud (SAC) Training gain the ability to use SAP’s comprehensive cloud-based analytics solution. It focuses on the SAP ecosystem’s predictive analytics, planning, and data visualization capabilities. Participants receive training in data analysis, dashboard creation, and report creation to enable them to make wise business decisions.
- 10+ Courses
- 30+ Projects
- 400 Hours
SAP Analytics Cloud Training is suitable for the following target audiences:
Business analysts: SAP Analytics Cloud is a great tool for analysts who want to improve their data reporting and analytics abilities while gaining a deeper understanding of how businesses operate.
Data Analysts and Data Scientists: Those looking to use predictive features and sophisticated analytics to examine big datasets and identify patterns might consider careers as data scientists and analysts.
SAP consultants and IT professionals: This course is intended for SAP consultants and IT professionals who wish to focus on cloud-based analytics and enhance organizational decision-making procedures.
Professionals in finance and planning: Ideal for finance teams using SAP’s planning features for financial reporting, forecasting, and budgeting.
Managers and Executives: Helpful for company executives who must use graphical data from SAP Analytics Cloud to make data-driven choices.
SAP Analytics Cloud Consultant: Helping businesses set up and maximize SAC for reporting and data analytics.
Business Intelligence Analyst: corporate intelligence analysts collect, evaluate, and present data that helps guide corporate choices using SAC.
Financial Planning Analyst: In large enterprises, SAC is used for forecasting, budgeting, and financial planning.
Data analyst: Using SAC to analyze and understand large, complicated datasets to gain strategic insights.
SAP Project Manager: Overseeing initiatives aimed at integrating SAC into company systems and implementing it.
Financial, manufacturing, healthcare, and retail sectors—as well as other industries—are actively looking for workers with SAC experience in the USA and Canada. These sectors provide competitive pay and room for advancement in the rapidly developing fields of business intelligence and cloud analytics.
- 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
SAP Analytics Cloud Consultant: Helping businesses set up and maximize SAC for reporting and data analytics.
Business Intelligence Analyst: corporate intelligence analysts collect, evaluate, and present data that helps guide corporate choices using SAC.
Financial Planning Analyst: In large enterprises, SAC is used for forecasting, budgeting, and financial planning.
Data analyst: Using SAC to analyze and understand large, complicated datasets to gain strategic insights.
SAP Project Manager: Overseeing initiatives aimed at integrating SAC into company systems and implementing it.
Financial, manufacturing, healthcare, and retail sectors—as well as other industries—are actively looking for workers with SAC experience in the USA and Canada. These sectors provide competitive pay and room for advancement in the rapidly developing fields of business intelligence and cloud analytics.
