
Smart City & Building Analytics (Level 1)
This course provides an introduction to smart cities and the analytics used to optimize building performance. It covers the evolution of urban environments, key building analytics metrics, data collection, storage, analysis, and the integration of smart technologies. Learners will explore real-world case studies and understand the role of governance, policy, and emerging technologies in shaping the future of smart cities. Practical projects and quizzes will guide learners in applying their knowledge to design smart buildings or cities.
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Course Duration:
27 Hours
Level:
Beginner to Intermediate

Course Objectives
Understand the concept and components of smart cities.
Learn how building analytics improve building efficiency.
Explore the role of IoT and smart technologies in smart cities and buildings.
Gain proficiency in data collection, analysis, and reporting for building performance.
Study case studies to understand real-world implementations of smart technologies.
Understand data privacy, security, and regulatory frameworks.
Develop practical skills in data visualization and dashboard creation.
Apply knowledge to design a smart building or city plan using analytics solutions
Prerequisites
Basic understanding of urban planning or architecture (preferred but not required).
Familiarity with basic data analysis concepts (e.g., statistics, Excel).
No prior experience with smart city technologies required.
