Statistical Analysis Training
Take your data skills to the next level with Statistical Analysis Training at Checkmate IT Tech! Our program is tailored for professionals who want to enhance their ability to interpret and analyze data effectively using advanced statistical techniques. Learn how to leverage statistical methods to solve real-world problems, make informed decisions, and gain valuable insights from data. Position yourself for success in the dynamic field of business analysis by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Scientists and Analysts: This program is intended for data professionals who want to improve their statistical analysis skills and use these methods on actual data.
Business Analysts: Ideal for business analysts who want to use statistical techniques to improve strategic planning and decision-making.
Researchers and Academics: Perfect for academics and researchers who require a strong background in statistical analysis in order to appropriately analyze research findings.
Healthcare analysts: Helpful for medical practitioners who assess data for clinical trials, epidemiological research, and patient outcomes.
Financial and Marketing Analysts: Designed for anyone working in finance or marketing who utilize data to forecast results, identify trends, and improve business plans.
Data Analyst: Analyzing data, finding trends, and formulating recommendations supported by data are all part of being a data analyst.
Statistical Analyst: A statistical analyst interprets complex datasets and supports business choices by applying statistical approaches.
Business intelligence analyst: Using data to create dashboards and reports that inform business strategy.
Quantitative Researcher: A quantitative researcher uses sophisticated statistical techniques to do research in industries such as market research, healthcare, and finance.
Data Scientist: Data scientists create statistically based analytics solutions, machine learning algorithms, and predictive models.
As data-driven decision-making becomes more and more important across sectors, industries like finance, healthcare, technology, government, and retail in the USA and Canada are actively seeking professionals with strong statistical analysis skills. These industries offer competitive salaries and expanding career opportunities.
- 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: Analyzing data, finding trends, and formulating recommendations supported by data are all part of being a data analyst.
Statistical Analyst: A statistical analyst interprets complex datasets and supports business choices by applying statistical approaches.
Business intelligence analyst: Using data to create dashboards and reports that inform business strategy.
Quantitative Researcher: A quantitative researcher uses sophisticated statistical techniques to do research in industries such as market research, healthcare, and finance.
Data Scientist: Data scientists create statistically based analytics solutions, machine learning algorithms, and predictive models.
As data-driven decision-making becomes more and more important across sectors, industries like finance, healthcare, technology, government, and retail in the USA and Canada are actively seeking professionals with strong statistical analysis skills. These industries offer competitive salaries and expanding career opportunities.
