IoT and Big Data: Building Scalable Connected Systems
This course is part of Internet de las cosas (IoT), Big Data y sus aplicaciones.
This online course teaches students how to develop complete and scalable Internet of Things (IoT) systems integrated with Big Data technologies. Designed for the Industry 4.0 revolution, the course focuses on active learning for those interested in science, technology, and scalable system development using accessible programming boards, low-cost sensors, and open-source software. Students will acquire advanced tools for managing programming projects, database storage systems, and communication technologies through Node-RED protocols—a key tool in IoT application development. The curriculum, taught by University of Rosario professors specializing in bioinstrumentation, advanced programming, and electronic control from the Biomedical Engineering program, provides practical experience with various development platforms for implementing IoT projects based on real industrial challenges. Each module presents different development tools that students can integrate step-by-step to implement personal projects while enhancing their knowledge of IoT and Big Data concepts. This practical approach aims to help participants gain new income opportunities in the lucrative field of digital transformation 4.0.
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What you'll learn
Manage software development projects using Git version control system
Implement and administer both relational and non-relational databases for IoT applications
Create effective user interfaces and dashboards for different platforms
Integrate IoT systems with Big Data technologies for advanced applications
Develop complete IoT ecosystems from conception to implementation
Visualize and analyze large datasets using Python and specialized tools
Skills you'll gain
This course includes:
PreRecorded video
Graded assessments
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
This comprehensive course bridges Internet of Things (IoT) and Big Data technologies, equipping students with the skills to develop complete and scalable connected systems. The curriculum is structured around four key modules that build progressively more advanced capabilities. The first module focuses on project management, introducing Git for version control and repository management—essential skills for collaborative development environments. Students learn how to integrate Git with Node-RED, establishing a foundation for organized IoT development. The second module delves into database management, covering both relational databases (MySQL) and non-relational databases (Firebase) within IoT applications. This section also introduces Big Data concepts and explores their relationship with IoT implementations. The third module addresses a critical component of IoT ecosystems: user interfaces. Students learn to develop dashboards using Node-RED, Android Studio, and web technologies, enabling effective user interaction across multiple device types. The final bonus module highlights the integration of Big Data with IoT, covering data processing using Python and Pandas, data visualization with Plotly, and advanced clustering techniques for data mining. Throughout the course, students apply theoretical concepts to practical implementations, gaining valuable experience in developing production-level IoT ecosystems.
Secci on 1: Manejo de proyectos
Module 1
Secci on 2: Herramientas para la gestión de bases de datos.
Module 2
Secci on 3: Dashboard.
Module 3
Secci on 4 (Bonus): Big Data
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Internet de las cosas (IoT), Big Data y sus aplicaciones
Payment options
Financial Aid
Instructors
2 Courses
Biomedical Engineering Professor and IoT Specialist at Universidad del Rosario
Jefferson Sarmiento Rojas is a professor in the Biomedical Engineering program at the School of Medicine and Health Sciences, Universidad del Rosario, Colombia. He holds a bachelor's degree in electronics from Universidad Pedagógica Nacional and a master's degree in Electronic Engineering from Universidad Santo Tomás. As a member of the GIBIOME research group, his expertise spans robotics and automation, the Internet of Things (IoT), web and mobile application programming, clinical engineering, and bioinstrumentation. Sarmiento Rojas has led and contributed to projects in rehabilitation technology and software development, and he teaches courses on IoT and its applications, IoT and Big Data, and professional certification programs in these areas at URosarioX. He is recognized for his research on IoT applications in healthcare, including monitoring systems for hospital environments, and holds additional certifications in deep learning, cybersecurity, and software development
2 Courses
Biomedical and Electronic Engineer, Educator, and Researcher in Assistive Technologies
Daniel Alejandro Quiroga Torres is a professor in the Biomedical Engineering program at the School of Medicine and Health Sciences at Universidad del Rosario. He holds a degree in Biomedical and Electronic Engineering from Universidad Manuela Beltrán and is a member of the GIBIOME research group. Quiroga Torres specializes in education in engineering, bioinstrumentation, rehabilitation and assistive technologies, and the Internet of Things (IoT). He has led and contributed to projects focused on rehabilitation and the development of assistive technologies, and has published research on topics such as robotics for children with disabilities, IoT-based monitoring systems in clinical environments, and the impact of educational strategies in engineering. He teaches courses including "Introducción al Internet de las cosas (IoT) y sus aplicaciones," "Internet de las cosas (IoT) y Big Data," and "Internet de las cosas (IoT), Big Data y sus aplicaciones" at URosarioX
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