Data Science Training
Data Science Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Data Science by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Aspiring Data Scientists and Analysts: Perfect for people who want to work in data science and get basic and advanced knowledge of machine learning, data visualization, and data analysis.
IT and Software Professionals: Designed for software developers and IT specialists who want to broaden their skill sets by using data science methods to their projects or responsibilities.
Business Analysts and Consultants: Ideal for consultants and business analysts who want to improve their capacity to make data-driven choices and provide insightful advice to their clients or businesses.
Managers and Decision Makers: This is helpful for executives and managers who wish to learn data science so they can use data insights to make more informed strategic decisions.
Students and Recent Graduates in STEM Fields: Perfect for students pursuing a career in data science who are now enrolled in or have just graduated from STEM programs like computer science, engineering, or mathematics.
Data Scientist: Data scientists help organizations make decisions by analyzing and interpreting large, complicated data sets.
Data Analyst: Data analysts clean, transform, and analyze data to give businesses useful information.
Machine Learning Engineer: Creating machine learning models to forecast results and automate decision-making is the responsibility of a machine learning engineer.
Business Intelligence (BI) Analyst: Making data-driven reports and dashboards for operational and strategic decisions is the responsibility of a business intelligence (BI) analyst.
Data Engineer: Data engineers create and manage data pipelines, guaranteeing the quality and availability of data for analytics.
With excellent pay and lots of room for advancement, sectors like government, healthcare, technology, retail, and finance are actively looking for qualified data experts.
- 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 Scientist: Data scientists help organizations make decisions by analyzing and interpreting large, complicated data sets.
Data Analyst: Data analysts clean, transform, and analyze data to give businesses useful information.
Machine Learning Engineer: Creating machine learning models to forecast results and automate decision-making is the responsibility of a machine learning engineer.
Business Intelligence (BI) Analyst: Making data-driven reports and dashboards for operational and strategic decisions is the responsibility of a business intelligence (BI) analyst.
Data Engineer: Data engineers create and manage data pipelines, guaranteeing the quality and availability of data for analytics.
With excellent pay and lots of room for advancement, sectors like government, healthcare, technology, retail, and finance are actively looking for qualified data experts.
