Data processing curriculum visualization

Curriculum: Real-Time Data Processing for Engineering

A step-by-step, hands-on learning path for mastering essential industrial data stream skills.

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Mini-Course Structure & Weekly Breakdown

Week 1

Stream Processing Fundamentals

Build a strong foundation by understanding the principles that drive streaming systems in industry.

  • What you'll learn:
  • Core concepts: streams, events, and event-driven architectures
  • Batch vs. stream processing and when to use each
  • Architecture of a simple streaming data pipeline
  • Setting up your first stream processing environment
Stream architecture diagram
Week 2

Data Ingestion & Processing Techniques

Get hands-on with ingesting high-velocity data and applying real-time transformations and filtering.

  • What you'll learn:
  • Connecting to industrial data sources and sensor feeds
  • Real-time data filtering, cleaning, and transformation
  • Time windowing and aggregation for streaming analytics
  • Practical exercises processing simulated industrial data
Industrial data ingestion example
Week 3

Real-Time Analytics & Visualization

Discover how to extract actionable insights and visualize data as it arrives.

  • What you'll learn:
  • Key real-time analytical operations and metrics for engineering
  • Building dashboards with live updating charts & alerts
  • Techniques for anomaly detection in streams
  • Integrating open-source visualization tools
Real-time dashboard visualization
Week 4

Industrial Applications & System Architecture

Apply your skills to real engineering challenges and design robust production solutions.

  • What you'll learn:
  • Use cases: predictive maintenance, asset monitoring, and process control
  • Building scalable and fault-tolerant streaming architectures
  • Design patterns for industrial-grade deployments
  • Final mini-project: Implementing a streaming solution from data source to dashboard
Industrial streaming application

Capstone Mini-Project

Project: Real-Time Equipment Monitoring

In the final week, put your knowledge into practice by creating a basic industrial monitoring pipeline. You'll ingest simulated sensor data, apply stream transformations, detect anomalies, and visualize insights on a live dashboard.

  • Process incoming sensor events with real-time logic
  • Trigger alerts for abnormal patterns or threshold violations
  • Build a simple web-based visualization that reflects live data changes
  • Receive instructor feedback on your solution
Engineering monitoring project

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