IoT Sensors & Data Acquisition
Description
This course introduces sensors and data acquisition techniques used in IoT systems.
It covers sensor types, signal conditioning, analog-to-digital conversion, sampling methods, data accuracy, and integration with embedded and IoT platforms for reliable data collection.
Learning Outcomes:
✔ Understand IoT sensor types and characteristics
✔ Learn data acquisition principles
✔ Work with analog and digital sensors
✔ Implement ADC and sampling techniques
✔ Process and validate sensor data
✔ Integrate sensors with IoT devices
✔ Improve data reliability and accuracy
Features
- Hands-on sensor data acquisition sessions
- Live demonstrations with IoT sensors
- Signal conditioning examples
- Real-world data collection use cases
- Completion certificate
Target Audiences
- IoT beginners and learners
- Embedded systems students
- Engineering students & freshers
- Automation and monitoring developers
- Makers and hardware enthusiasts
Requirements
- Laptop or desktop
- Microcontroller or IoT board (Arduino / ESP / Raspberry Pi recommended)
- Basic programming knowledge
- Sensors kit (recommended)
Curriculum
- 8 Sections
- 8 Lessons
- 4 Weeks
Expand all sectionsCollapse all sections
- Introduction to IoT Sensors & Data Acquisition1
- Sensor Types & Characteristics1
- Analog Sensors & ADC Concepts1
- Digital Sensors & Smart Sensors1
- Signal Conditioning & Noise Reduction1
- Sampling, Data Processing & Validation1
- Sensor Integration with IoT Devices1
- Applications, Case Studies & Best Practices1
FAQs
Yes — basic programming knowledge is sufficient.
Yes — hands-on examples are included.
Absolutely — accurate data acquisition is the foundation of IoT.
Common industrial sensor concepts are introduced.
Yes — after successful completion.
Instructor
57779 Students176 Courses
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