Introduction to Data Science
Introduction to 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
Introduction to Data Science Training is suitable for the following target audiences:
Beginners in Data Science: Perfect for people who wish to learn more about data science and its applications but need more prior experience.
IT Professionals: Ideal for system analysts, software engineers, and IT specialists wishing to advance their data abilities or move into data-centric professions.
Students and Academics: Designed for researchers and university students who want to use data science in their studies and projects.
Business Analysts and Decision Makers: Beneficial for managers and business analysts who wish to use data science methods and tools to make better decisions.
Career Changers: Designed for non-technical individuals who wish to switch to the rapidly expanding field of data science.
Data Analyst: Data analysts interpret data, produce reports, and create visuals to help guide business choices.
Junior Data Scientist: Helping with sophisticated statistical analysis and predictive model construction.
Business Intelligence Analyst: A business intelligence analyst’s responsibility is to create dashboards and data-driven plans to enhance corporate results.
Machine Learning Engineer (Entry-Level): The role of an entry-level machine learning engineer is to support the application of machine learning models and algorithms.
Data Engineer: Helping to create and manage databases and data pipelines.
Data scientists are in high demand in the US and Canada’s healthcare, banking, retail, technology, education, and government sectors. The field provides competitive pay and significant growth possibilities.
- 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 Analyst: Data analysts interpret data, produce reports, and create visuals to help guide business choices.
Junior Data Scientist: Helping with sophisticated statistical analysis and predictive model construction.
Business Intelligence Analyst: A business intelligence analyst’s responsibility is to create dashboards and data-driven plans to enhance corporate results.
Machine Learning Engineer (Entry-Level): The role of an entry-level machine learning engineer is to support the application of machine learning models and algorithms.
Data Engineer: Helping to create and manage databases and data pipelines.
Data scientists are in high demand in the US and Canada’s healthcare, banking, retail, technology, education, and government sectors. The field provides competitive pay and significant growth possibilities.
