Big Data
Anomaly Detection Alerts: From Logic to UI
Users don't want to stare at dashboards; they want to be told when something is wrong. This lesson covers simple threshold logic and visual 'Critical' states.
Level: IntermediateBig Data
What You'll Learn
Moving average and threshold-based anomaly detection
Z-score and IQR methods for outlier detection
Conditional formatting rules in dashboards
Visual Normal / Warning / Critical state design
Triggering UI notifications from data logic
Revenue drop detection with moving average
Integrating alerts with notification systems
What's Included
๐งญAI Tutor๐
Interactive learning path with AI-generated lessons read aloud by your personal tutor
๐งชPractice Lab๐
Step-by-step lab instructions with AI guidance โ run in your own IDE or sandbox.
๐๏ธMock Interviews๐
AI interviewer asks tailored questions, gives real-time feedback and a score report
๐Evaluation๐
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
โ๏ธChallenge AI๐
Compete head-to-head against AI on real production problems โ judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Module 1: Anomaly Detection Logic
- โขThreshold-based detection: static vs dynamic limits
- โขMoving average calculation (7-day, 30-day)
- โขZ-score method for statistical outliers
- โขIQR (Interquartile Range) for skewed data
- โขChoosing the right method for your data shape
Module 2: Conditional UI States
- โขDesigning Normal / Warning / Critical colour states
- โขConditional class application in React & vanilla JS
- โขAnimated alert banners and badge counters
- โขSparkline charts with threshold bands
- โขAccessibility: colour-blind-safe alert palettes
Module 3: End-to-End Alert Pipeline
- โขConnecting detection logic to UI notification triggers
- โข10% revenue drop rule โ implementation walkthrough
- โขToast notifications vs persistent alert panels
- โขStoring and acknowledging alerts in state
- โขCapstone: live revenue anomaly detection widget
You're all set
Everything in this course is unlocked.
Continue Learning โโAI Tutor
โPractice Lab
โMock Interviews
โEvaluation
โChallenge AI