Python Big Data
Python Big Data Course 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 Big Data by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Python Big Data Training is suitable for the following target audiences:
Data Scientists and Analysts: Experts looking to manage huge datasets, carry out sophisticated analytics, and create Python machine learning models.
Software developers: Those who work to create scalable data-driven systems or incorporate big data solutions into applications.
IT Professionals: IT professionals who oversee big data pipelines and processing systems include system administrators, IT engineers, and DevOps specialists.
Students and Graduates in Data Fields: People who wish to use Python for large data applications and are pursuing degrees or professions in data science, machine learning, or data engineering.
Professionals in business intelligence: BI specialists and analysts who are interested in utilizing Python to examine large data sets in order to derive useful insights and make strategic decisions.
Scientist of Data: Python can be used to support data-driven corporate strategies, create predictive models, and analyze big datasets.
Big Data Engineer: Create and oversee big data pipelines, handle massive datasets, and guarantee efficiency and scalability.
Machine Learning Engineer: Use massive data to deploy and train machine learning models for automation, suggestions, and prediction.
Data Analyst: Process and analyze large amounts of data using Python tools to produce reports and insights for companies.
Business Intelligence Developer: Develop reporting systems, dashboards, and visualizations by gleaning business insights from big data analysis.
Cloud Data Engineer: Use Python to create and implement big data solutions on cloud platforms such as AWS, Google Cloud, or Azure.
Employers Seeking Python Big Data Experts: Technology (e.g., Microsoft, Amazon, Google)
This is a viable career option because both the USA and Canada provide attractive salaries and there is a rising need for experts with Python skills for big data solutions.
- 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
Scientist of Data: Python can be used to support data-driven corporate strategies, create predictive models, and analyze big datasets.
Big Data Engineer: Create and oversee big data pipelines, handle massive datasets, and guarantee efficiency and scalability.
Machine Learning Engineer: Use massive data to deploy and train machine learning models for automation, suggestions, and prediction.
Data Analyst: Process and analyze large amounts of data using Python tools to produce reports and insights for companies.
Business Intelligence Developer: Develop reporting systems, dashboards, and visualizations by gleaning business insights from big data analysis.
Cloud Data Engineer: Use Python to create and implement big data solutions on cloud platforms such as AWS, Google Cloud, or Azure.
Employers Seeking Python Big Data Experts: Technology (e.g., Microsoft, Amazon, Google)
This is a viable career option because both the USA and Canada provide attractive salaries and there is a rising need for experts with Python skills for big data solutions.
