Big Data Training
Big Data Training Online by Checkmate IT Tech offer a transformative journey, elevating your expertise and mastering essential skills. Harness the power of Big Data and open doors to exciting career opportunities with our exclusive Big Data training promotion! As industries increasingly rely on data-driven insights, the demand for skilled Big Data professionals continues to soar. Take advantage of our Big Data training promotion and jumpstart your journey into this exciting, high-demand field. Enroll today to gain the skills that make you a valuable asset in data-driven industries!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Analysts and Data Scientists: Professionals seeking to increase their proficiency in managing large datasets so they can derive insights and create predictive models are the target audience for data scientists and analysts.
IT and Database Administrators: Ideal for database managers and IT administrators who want to learn about and oversee big data infrastructure, including data retrieval, storage, and optimization.
Professionals in business intelligence: Perfect for BI analysts and experts who want to improve their capacity to analyze large data, create visualizations, and offer strategic insights.
Software Developers: Designed for developers who wish to design and optimize large-scale applications by gaining practical expertise with big data tools and frameworks.
Students and Recent Graduates in Fields Associated with Data: Ideal for recent graduates and students studying statistics, computer science, or data science who want to get ready for jobs in the big data sector.
Big Data Engineer: Creating and overseeing big data structures to facilitate data analysis, retrieval, and storage is the responsibility of big data engineers.
Data Scientist: Data scientists study big datasets and create predictive models by applying statistical and machine learning methods.
Data Analyst: Data analysis is the process of drawing conclusions from large amounts of data to help guide corporate plans and choices.
Business Intelligence Analyst: Creating dashboards and data visualizations to convey big data insights is the responsibility of a business intelligence analyst.
Machine Learning Engineer: Automating and optimizing decision-making through the use of machine learning models on large data platforms.
Big data specialists are in high demand in the US and Canada, where sectors like banking, healthcare, technology, retail, and telecommunications are providing competitive pay and room for advancement in the rapidly developing field of data 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
Big Data Engineer: Creating and overseeing big data structures to facilitate data analysis, retrieval, and storage is the responsibility of big data engineers.
Data Scientist: Data scientists study big datasets and create predictive models by applying statistical and machine learning methods.
Data Analyst: Data analysis is the process of drawing conclusions from large amounts of data to help guide corporate plans and choices.
Business Intelligence Analyst: Creating dashboards and data visualizations to convey big data insights is the responsibility of a business intelligence analyst.
Machine Learning Engineer: Automating and optimizing decision-making through the use of machine learning models on large data platforms.
Big data specialists are in high demand in the US and Canada, where sectors like banking, healthcare, technology, retail, and telecommunications are providing competitive pay and room for advancement in the rapidly developing field of data analytics.
