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Course on Data Science for Construction, Architecture & Engineering by National University of Singapore [Online, 7 Weeks]: Register Now

Course on Data Science for Construction, Architecture & Engineering by National University of Singapore [Online, 7 Weeks]: Register Now

NUS Online Course Data Science
NUS Online Course Data Science
About the Course

The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field.

Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners.

This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience.

An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques.

What you’ll learn?
  • Why data science is important for the built environment
  • Why building industry professionals should learn how to code
  • A jump start in the Python Programming Language
  • Overview of the Pandas data analysis library
  • Guidance in the loading, processing, and merging of data
  • Visualization of data from buildings
  • Basic machine learning concepts applied to building data
  • Examples of parametric analysis for the integrated design process
  • Examples of how to process time-series data from IoT sensors
  • Examples of analysis of thermal comfort data from occupants
  • Numerous starting points for using data science in other building-related tasks
Syllabus
  • Section 1: Introduction to Course and Python Fundamentals
  • Section 2: Introduction to the Pandas Data Analytics Library and Design Phase Application Example
  • Section 3: Pandas Analysis of Time-Series Data from IoT and Construction Phase Application Example
  • Section 4: Statistics and Visualization Basics and Operations Phase Application Example
  • Section 5: Introduction to Machine Learning for the Built Environment
Fee

FREE, Add a Verified Certificate for ₹14,905

To enroll in this course, click the link below.

Course on Data Science for Construction, Architecture & Engineering 

Note: Noticebard is associated with Edx through an affiliate programme.

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One Comment

  1. kajen Grover says:

    This courses look very promising. I’m looking forward to it since I’m planning to build a career in the field of analytics.

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