Wearables & Health Data
Course Index
30 Lessons · 3 Levels
Connect and analyse real wearable APIs in Python — Apple HealthKit, Fitbit, Garmin, Oura, ECG/PPG signal processing, HRV, sleep staging, and Kafka streaming. Covers FHIR Observation mapping, TensorFlow Lite edge AI, FDA SaMD, CDSCO India & 4 real health builds.
30Lessons
3Levels
4Projects
FreeAccess
Level IWearable APIs, Sensors & Python SetupLessons 1–10
LESSON 01
Wearables & Health Data: Overview
LESSON 02
ECG, PPG & Accelerometer Sensors
LESSON 03
Bluetooth LE & ANT+ Protocols
LESSON 04
Apple HealthKit API Integration
LESSON 05
Samsung Health Connect API
LESSON 06
Fitbit Web API & OAuth2
LESSON 07
Garmin Health API
LESSON 08
Oura & Whoop APIs
LESSON 09
Python for Wearable Data Processing
LESSON 10
Data Normalization Across Wearables
Level IISignal Processing, ML & Health AnalyticsLessons 11–22
LESSON 11
Time-Series Signal Processing
LESSON 12
Heart Rate Variability (HRV)
LESSON 13
Sleep Stage Classification
LESSON 14
Activity Recognition with ML
LESSON 15
Step & Gait Analysis
LESSON 16
Anomaly Detection in Health Streams
LESSON 17
Remote Patient Monitoring Pipelines
LESSON 18
FHIR Observation: Wearable to EHR
LESSON 19
Real-Time Streaming: Kafka & MQTT
LESSON 20
Wearable Data & Time-Series DBs
LESSON 21
Edge AI: TensorFlow Lite Wearables
LESSON 22
Athlete Performance Analytics
Level IIICompliance, Cloud & ProjectsLessons 23–30
LESSON 23
HIPAA, GDPR & Wearable Data Privacy
LESSON 24
FDA SaMD for Wearable Devices
LESSON 25
CDSCO & India Digital Health
LESSON 26
AWS IoT & Cloud Wearable Pipelines
LESSON 27
Build Multi-Device Health Dashboard
LESSON 28
Build an HRV & Sleep Analyzer
LESSON 29
Build a Remote Patient Monitor
LESSON 30
Build a Wearable-to-FHIR Pipeline