Databricks Training
Are you ready to supercharge your data and analytics capabilities? Checkmate IT Tech Online Databricks Training offers hands-on, in-depth learning that will empower you to leverage Databricks powerful unified analytics platform for real-time insights and data-driven solutions. Enroll today and unlock the full potential of Databricks to fuel your organization’s data-driven success!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Engineers: Data engineers are professionals that want to learn how to handle large data on the Databricks platform and create scalable data pipelines.
Data Scientists: Those who wish to use Databricks for machine learning processes, from data preparation to model deployment, are known as data scientists.
Data analysts: Databricks is used by analysts who are interested in advanced analytics and data visualization to generate insights more effectively.
IT professionals: cloud and IT architects looking to oversee and assist with Databricks deployments in their company.
Developers: Programmers that want to use Spark-based apps on Databricks and work with big data technologies.
Data Engineer: Data engineers use Databricks and Apache Spark to design and manage data pipelines.
Machine Learning Engineer: Using Databricks to develop and implement machine learning models.
Data Scientist: Performing predictive modeling and sophisticated analytics with Databricks.
Big Data Developer: Using Databricks to create big data solutions and applications.
Databricks is used by business intelligence analysts to analyze, report, and visualize data. Databricks and big data expertise are in high demand in both the USA and Canada, which also offers good pay and opportunities for advancement in this quickly growing industry.
- 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
Data Engineer: Data engineers use Databricks and Apache Spark to design and manage data pipelines.
Machine Learning Engineer: Using Databricks to develop and implement machine learning models.
Data Scientist: Performing predictive modeling and sophisticated analytics with Databricks.
Big Data Developer: Using Databricks to create big data solutions and applications.
Databricks is used by business intelligence analysts to analyze, report, and visualize data. Databricks and big data expertise are in high demand in both the USA and Canada, which also offers good pay and opportunities for advancement in this quickly growing industry.
