Data Analysis and Visualization
Data Analysis and Visualization 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
Data Analysis and Visualization Training is suitable for the following target audiences:
Data Professionals: People who wish to improve their abilities in processing and visualizing data and work in data-centric positions like data scientists, business analysts, or analysts.
IT Professionals: IT experts want to enhance system performance monitoring and reporting by incorporating data visualization tools into their processes.
Business executives: Those in charge of making decisions who must decipher complicated data and effectively convey conclusions to stakeholders to facilitate strategic planning.
Graduates and students: Future professionals in business, analytics, or STEM who wish to develop fundamental data visualization and analysis abilities.
Entrepreneurs and Small Business Owners: Small business owners and entrepreneurs that want to leverage data-driven insights to improve operations, comprehend consumer behavior, and spur company expansion.
Data Analyst: Data analysts examine data sets to find patterns, produce reports, and offer practical suggestions.
Business Intelligence (BI) Analyst: Creating dashboards and reports with visualization tools such as Tableau, Power BI, or Qlik is the responsibility of a business intelligence (BI) analyst.
Data Scientist: Using data visualization and analysis to create machine learning algorithms and predictive models.
Market research analyst: Understanding consumer behavior and market trends through data insights and visuals.
Operations Analyst: Using data-driven insights to improve operational efficiency and optimize company operations.
Financial Analyst: Financial analysts examine financial information and produce visual aids to help investors make decisions.
Jobs with competitive pay and room for advancement are available in the US and Canada in the technology, finance, healthcare, retail, manufacturing, and government sectors.
- 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 examine data sets to find patterns, produce reports, and offer practical suggestions.
Business Intelligence (BI) Analyst: Creating dashboards and reports with visualization tools such as Tableau, Power BI, or Qlik is the responsibility of a business intelligence (BI) analyst.
Data Scientist: Using data visualization and analysis to create machine learning algorithms and predictive models.
Market research analyst: Understanding consumer behavior and market trends through data insights and visuals.
Operations Analyst: Using data-driven insights to improve operational efficiency and optimize company operations.
Financial Analyst: Financial analysts examine financial information and produce visual aids to help investors make decisions.
Jobs with competitive pay and room for advancement are available in the US and Canada in the technology, finance, healthcare, retail, manufacturing, and government sectors.
