About Business Data Analytics
The elective focuses on predictive analytics, business modelling, and performance analysis. Learners gain skills in interpreting trends and applying data-driven decision-making to real business scenarios.
Learning Modules
Predictive Analytics
Analyze historical data to forecast future trends, helping businesses make proactive, informed decisions.
Business Modeling
Build and evaluate models that simulate business scenarios and test strategies for optimal outcomes.
Performance Analysis
Assess organizational performance using key metrics, interpret trends, and identify areas for improvement.
Trend Interpretation
Learn to spot patterns in data, uncover insights, and translate them into actionable strategies for real business challenges.
Data-Driven Decision Making
Apply analytical insights to guide strategic decisions, improve efficiency, and drive measurable business results.
Career Path
Full Stack Developer
Designs and builds both front-end and back-end components of web applications.Works with modern frameworks, APIs, cloud deployment, and scalable architectures.
Mobile App Developer
Develops Android and iOS applications using native or cross-platform frameworks. Focuses on performance, UI/UX, and integration with cloud-based backends.
DevOps Engineer
Automates development pipelines, manages CI/CD, and ensures smooth deployment. Works with containerization, monitoring tools, and cloud infrastructure.
Systems Analyst
Evaluates business requirements and designs technology solutions. Works closely with stakeholders to analyze workflows and recommend system improvements.
AI / ML Engineer
Builds machine learning models and integrates AI solutions into applications. Uses modern ML frameworks, data pipelines, and responsible-AI practices.
Technical Project Manager
Leads IT projects, manages timelines, and coordinates cross-functional teams. Ensures successful delivery of technology solutions aligned with business goals.
Software Engineer
Designs, develops, tests, and maintains software applications. Works with modern languages, design patterns, and agile development practices.
Data Scientist
Analyzes large datasets to uncover insights and build predictive models. Uses statistical methods, machine learning, and data visualization tools.
Cloud Developer
Builds and deploys applications on cloud platforms like AWS, Azure, or GCP. Works with serverless computing, cloud-native tools, and scalable architectures.
Cybersecurity Analyst
Protects systems, data, and networks from cyber threats. Performs risk assessments, monitors attacks, and implements security controls.
Awards and Recognitions








