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 December 16, 2024 6:02 am.

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Last updated on December 16, 2024 6:02 am
Energy Analytics with Power BI and IoT: A Hands-On Guide
Energy Analytics with Power BI and IoT: A Hands-On Guide

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Energy Analytics with Power BI and IoT: A Hands-On Guide

★★★★★
$44.99  in stock
Udemy.com
as of December 16, 2024 6:02 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
Rating:4.77 (11reviews)     57students 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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