Energy Analytics with Power BI and IoT: A Hands-On Guide
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- The lowest price of Energy Analytics with Power BI and IoT: A Hands-On Guide was obtained on February 14, 2026 1:09 am.
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Energy Analytics with Power BI and IoT: A Hands-On Guide
$44.99
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Energy Analytics with Power BI and IoT: A Hands-On Guide
★★★★★
$449.00 in stock
Udemy.com
as of February 14, 2026 1:09 am
Master Energy Data Analysis using Power BI, ESP32, ThingSpeak, PZEM-004T AC Energy Meter Sensor and Data Visualization
Created by:
Huebits Edu
Imagine Innovate Invent
Imagine Innovate Invent
Rating:4.75 (14reviews)
73students enrolled
What Will I Learn?
- Install and navigate Microsoft Power BI Desktop for effective data analysis.
- Create interactive dashboards using various visualizations and enhance dashboard interactivity.
- Utilize Power Query to clean and transform raw data, preparing it for analysis.
- Connect Microsoft Power BI to the ThingSpeak IoT platform to retrieve and integrate real-time energy data.
- Set up ESP32 and PZEM-004T AC energy meter sensors to collect energy data.
- Transmit data from IoT sensors to the ThingSpeak cloud, ensuring accuracy and consistency.
- Analyze energy data comprehensively within Power BI using analytical tools and techniques.
- Develop customized smart home energy dashboards to visualize consumption patterns and derive insights.
- Engage in practical projects and case studies to apply learned concepts in real-world scenarios.
Requirements
- No specific prerequisites are required to take this course. Beginners are welcome!
- Familiarity with basic data analysis concepts.
- Basic knowledge of IoT (Internet of Things) devices and their applications
- Comfortable using a computer and navigating software applications.
- Access to the hardware
Target audience
- Data enthusiasts interested in exploring data analytics with Microsoft Power BI.
- IoT hobbyists looking to utilize ESP32 and PZEM-004T sensors for energy monitoring.
- Professionals in energy management seeking to enhance their analytical skills.
- Students and beginners keen to learn about data analytics and IoT applications in smart home energy.
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