JavaScript for Data-Driven Applications

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Course Content

UNIT 1: Foundations of Data-Driven Applications
Objective: Understand data-centric system design.

  • Objective: Understand data-centric system design.
  • Role of data in decision-making systems
  • Types of data: Structured Semi-structured Unstructured
  • Data lifecycle: Collection Processing Storage Analysis Visualization
  • Why JavaScript for data-driven UIs
  • Client-side vs server-side data processing

UNIT 2: Data Modeling Using JavaScript
Objective: Represent real-world data accurately

UNIT 3: Data Ingestion & Input Handling
Objective: Collect data from multiple sources.

UNIT 4: Core Data Processing Techniques
Objective: Transform raw data into usable information.

UNIT 5: JavaScript Array & Functional Methods for Analytics
Objective: Use modern JS for data operations.

UNIT 6: Working with Time-Series & Numeric Data
Objective: Process dates, metrics, and trends.

UNIT 7: Data Validation & Business Rules
Objective: Ensure data correctness.

UNIT 8: Asynchronous Data Handling
Objective: Handle real-time and external data.

UNIT 9: Data Persistence in Data-Driven Apps
Objective: Store and retrieve processed data.

UNIT 10: Data Visualization Concepts (JavaScript Logic)
Objective: Convert data into insights.

UNIT 11: Performance Optimization for Data Applications
Objective: Handle large datasets efficiently.

UNIT 12: Security & Privacy in Data Handling
Objective: Protect sensitive data.

UNIT 13: Industry Case Studies – Data-Driven Systems
Objective: Learn from real-world applications.

UNIT 14: Industry-Oriented Mini Projects
Objective: Apply data concepts in realistic scenarios.

UNIT 15: Capstone – Data-Driven JavaScript Application
Objective: Deliver an end-to-end data-centric system.

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