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所在平台: Udemy |
课程主页: https://www.udemy.com/course/visualizing-sensors-data/
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课程名称：传感器数据可视化 概述： 欢迎参加“传感器数据可视化”课程！本课程旨在教您如何有效地可视化和分析传感器数据，尤其是温度和湿度数据。您将学习如何使用微控制器和ESP32进行数据的收集、处理和可视化，以便进行在线监控。 项目要求： - 具备基础的电子和编程知识。 - 获取所需组件（如温湿度传感器、ESP32等）来构建项目。 - 配备计算机以编程微控制器并上传数据。 - 熟悉Arduino IDE进行ESP32编程。 组件： - 温湿度传感器（如DHT11或DHT22） - ESP32微控制器 - 用于电路组装的面包板或PCB - 连接组件的跳线 - 用于编程和供电的USB线 - 用于在线上传数据的互联网连接 项目说明： 课程将指导您构建一个系统，以从传感器收集温湿度数据，通过ESP32微控制器处理，并将数据上传到个人网站进行在线监控。您将学习如何编程微控制器以读取传感器数据，处理信息，并通过Wi-Fi与互联网进行通信。此外，您还将学习使用流行的数据可视化库（如Chart.js或Plotly）可视化收集到的传感器数据，获取编码、线路组装和故障排除的实践经验。 通过本课程，您将掌握如何收集、处理和可视化传感器数据的知识，并能够创建互动和信息丰富的可视化效果，帮助您从传感器数据中获取见解。课程结束后，您将能够将所学概念应用于其他物联网项目或数据可视化任务。 学习内容： - 学会收集和可视化由传感器生成的数据。 - 从收集的数据中获取见解和模式，以支持决策过程。 - 将课上所学知识应用于环境监测、医疗保健、制造业和农业等领域。 - 发展与当前就业市场高度相关的有价值技能。 - 理解电路设计的基本知识及如何将传感器与微控制器连接。 - 学习使用流行的数据可视化工具，如Matplotlib、Seaborn和Plotly创建互动可视化。 适合人群： - 学生：适合学习工程、计算机科学、环境科学、数据科学等领域的学生。 - 专业人士：适合物联网、电子、数据分析或环境监测等领域的专业人士。 - 爱好者：对传感器和数据可视化技术感兴趣的个人。 - 企业家：从事物联网相关产品或项目的企业家。 - 研究人员：在医疗等需要数据收集和可视化的领域工作的研究人员。 关于讲师： 教育工程团队由一群经验丰富的工程师组成，拥有超过13年的教学及实践项目经验。团队带头人阿什拉夫是一名教育工作者和机电工程师，热衷于分享他们的专业知识，已于全球培养了超过250,000名学生。 现在就报名参加这门课程，解锁传感器数据可视化的力量，做出明智的决策，深入了解您的环境测量！
Welcome to the "Visualizing Sensors Data" Course!Do you want to learn how to effectively visualize and analyze data from sensors, specifically temperature and humidity data? This course is designed to provide you with the knowledge and skills to collect, process, and visualize sensor data using a microcontroller and an ESP32 for online monitoring.Project Requirements:Basic understanding of electronics and programming concepts.Access to the required components (listed below) for building the project.A computer for programming the microcontroller and uploading data online.Familiarity with Arduino IDE for programming the ESP32 microcontroller.Components:Temperature and humidity sensor (such as DHT11 or DHT22)ESP32 microcontrollerBreadboard or PCB for circuit assemblyJumper wires for connecting componentsUSB cable for programming and powering the microcontrollerInternet connection for uploading data onlineCircuit Diagram: We will provide you with a detailed circuit diagram that shows how to connect the temperature and humidity sensor to the ESP32 microcontroller using a breadboard or a PCB. You will learn how to properly wire the components to ensure accurate data readings and reliable performance.Project Explanation: Our course will guide you through the process of building a system that collects temperature and humidity data from the sensor, processes it using the ESP32 microcontroller, and uploads the data to a personal website for online monitoring. You will learn how to program the microcontroller to read sensor data, process it, and communicate with the internet using Wi-Fi.Furthermore, you will learn how to visualize the collected sensor data using popular data visualization libraries such as Chart.js or Plotly. You will gain hands-on experience in coding, circuit assembly, and troubleshooting. You will also learn about best practices for data visualization, including choosing appropriate chart types, customizing visualizations, and interpreting data patterns.By the end of this course, you will have a solid understanding of how to collect, process, and visualize sensor data, and you will be able to create interactive and informative visualizations that help you gain insights from your sensor data. You will also have the skills and knowledge to apply the concepts learned in this course to other IoT projects or data visualization tasks.Enroll in this course now and unlock the power of visualizing sensor data to make informed decisions and gain insights from your environmental measurements!What You Will LearnLearn how to collect and visualize data generated by sensors.Gain insights and patterns from the collected data to inform decision-making processes.Apply the skills and knowledge gained in this course to various fields, such as environmental monitoring, healthcare, manufacturing, and agriculture.Develop valuable skills that are highly relevant in today's job market.Understand the basics of circuit design and how to interface sensors with microcontrollers.Learn how to use popular data visualization tools like Matplotlib, Seaborn, and Plotly to create interactive visualizations.Requirements or PrerequisitesBasic programming skillsUnderstanding of electronicsFamiliarity with data visualization toolsWho Is This Course ForStudents: This course can be useful for students studying various fields, such as engineering, computer science, environmental science, data science, or any other field where data visualization and analysis are necessary.Professionals: Professionals working in fields like IoT, electronics, data analysis, or environmental monitoring can benefit from learning how to collect and analyze data generated by sensors.Hobbyists: Individuals interested in experimenting with sensors and data visualization techniques as a hobby can find this course useful for gaining the necessary knowledge and skills.Entrepreneurs: Entrepreneurs working on IoT-related products or projects can benefit from this course's practical knowledge on working with sensors and data visualization.Researchers: Researchers working in various fields where data collection and visualization are critical, such as healthcare, can benefit from this course's practical knowledge.About the InstructorEducational Engineering TeamTeam of Skilled Engineers Sharing Knowledge with the WorldThe Educational Engineering Team is a leading force in the Microcontroller Industry, boasting over 13 years of experience in teaching and practical projects. Their courses provide hands-on, real-world knowledge, enabling immediate application in projects and daily life. Led by Ashraf, an educator and Mechatronics engineer, the team is passionate about sharing their collective expertise. With over 250,000 students taught worldwide, Educational Engineering offers comprehensive courses, articles, and online support in various STEM fields. Ashraf's dedication to simplifying complex concepts through engaging content has garnered praise from students globally, making Educational Engineering a trusted resource for aspiring engineers and hobbyists alike.
