Outline of important concepts of Python
Motivating factors for building-industry professionals to learn to program
Example of NUS School of Design and Environment and NZEB buildings to show data science-related technologies in operations, construction, and design
Data Science for Construction, Architecture and Engineering
Enroll in this online course by edX to learn data science skills with implementations in building operation, construction, and design.
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 4-6 Hours Per Week
The need for smart analytics tools in the fields of architecture, construction, and building industry is increasing as data sources that influence inhabitants' welfare, and the built environment's energy performance is blowing up in numbers. The Data Science for Construction, Architecture, and Engineering online course is developed to annex novel techniques and abilities to complement spreadsheets.
The Data Science for Construction, Architecture, and Engineering course centres on teaching data science skills to practitioners explicitly in the built environment industry. You will be introduced to data science while considering the background of various phases of the building life cycle. You will also gain exposure to several educational paths for a multitude of built environment-related functions.
During the time you spend learning the Data Science for Construction, Architecture, and Engineering digital course concepts, you will utilise substantial data sets from construction and design to study and apply data science methods.
- Introductory level course
- Seven weeks long course
- FREE access to course contents
- 4 to 6 hours/week effort
- Self-paced learning
- English language
- Free course
- Data Science and Statistics subject
- Digital learning
- Free course access
- Self-paced learning
- Video lectures
- English video transcript
- Paid verified certification
- Expert instructors
- Structured curriculum
Course and certificate fees
Type of course
- You can gain access to all the content of edX’s Data Science for Construction, Architecture and Engineering online course for free.
- To receive a verified certificate, you need to pay a fee of Rs. 14,752.
- You will receive additional benefits such as graded assignments, unlimited course access, and a verified certification with the 'Verified Certificate' premium.
Data Science for Construction, Architecture and Engineering fee structure
Data Science for Construction, Architecture, and Engineering
certificate providing authority
Who it is for
The Data Science for Construction, Architecture, and Engineering MOOC on edX is specially designed for professionals in the built environment industry. The following people will benefit most from this course:
Building industry professionals
While there are no particular prerequisites for the Data Science for Construction, Architecture, and Engineering programme, candidates should know Python's fundamentals to learn the course smoothly.
Moreover, only candidates who are 'Verified Certificate' participants can secure a course completion certificate from edX; for which, they need to pay the certificate fee at the time of enrolment. Candidates also need to obtain an average score of 75% in all the assignments included in the Data Science for Construction, Architecture, and Engineering course.
What you will learn
The Data Science for Construction, Architecture, and Engineering course by edX will make you skilled in crucial topics related to Data Science and its applications in the built environment. Near the end of the course, you will have learned:
The importance of learning code for building-industry professionals
A synopsis of the Pandas data analysis library
Guidance in merging, processing, and loading data
Fundamental concepts of Machine Learning applied for building data
Processing of time-series data from IoT sensors
Analysis of thermal comfort data from inhabitants
Umpteen entry points for using data science in other building-related functions
Importance of data science for the built environment
Kick start Python programming language
Data visualisation from buildings
Parametric analysis for the integrated design procedure
Step 1 – Tap or click on the given link here: https://www.edx.org/course/Data-Science-for-Construction-Architecture-and-Engineering. You will land on the Data Science for Construction, Architecture, and Engineering course page on edX’s website.
Step 2 – You can read the course description. Then, tap or click on the ‘Enrol’ button.
Step 3 – A registration page will appear. Now, register for an edX account. You will see the options such as Google, Microsoft, Apple, and Facebook. Link any of these existing accounts and sign up.
Step 4 – After successful registration, the dashboard page will appear, and you will see a ‘Congratulations’ message on it. Here, you can begin learning from the Data Science for Construction, Architecture, and Engineering programme for free or choose the verified (premium) track for certification and other benefits.
Filling the form
There is no need to submit an application form to apply for the Data Science for Construction, Architecture, and Engineering certification programme by edX. Just logging on to edX's website and registering for the course will do.
Introduction to the course and Python basics
Design phase application example and Introduction to Pandas Data Analytics Library
Basic functions of Pandas library
Intro of future learning path examples
Spatial analytics and building performance modelling Python libraries
Building information modelling (BIM) using Rhino or Revit
Processing of data from Parametric EnergyPlus models
Construction Phase Application Example and Pandas Analysis of Time-Series Data from IoT
Construction phase future learning paths
BMS and robotic fabrication
Project management and digital construction
Demonstration of time-series analysis Panda functions
Examination of IoT data from electric energy meters
Operations Phase Application Example and Visualization and Statistics basics
Visualization methods and statistical regressions using Seaborn and Pandas library
Demonstration on Operations Phase occupant comfort data from ASHRAE thermal comfort database 2
Future educational path examples for the operations phase
IoT analysis and reinforcement learning
Energy auditing and Occupant detection
Introduction to Machine Learning for the Built Environment
Opportunities and motivations for the usage of prediction in the built environment
Demonstration of clustering, classification, and prediction using sci-kit learn library on occupant comfort data and electrical meter.
How it helps
The Data Science for Construction, Architecture and Engineering online course by edX will comprehensively cover important data science concepts. You will also learn practical programming with a focus on Pandas library and fundamental Python programming language.
Through the Data Science for Construction, Architecture, and Engineering programme, you will get the necessary statistical and coding skills to implement them in the field of the building sector to enhance your efficiency in the built environment industry.
The National University of Singapore (NUS) developed edX's Data Science for Construction, Architecture and Engineering online course.
The expert instructor of this MOOC is Clayton Miller, Assistant Professor at NUS.
You will just need a supported web browser like Mozilla Firefox, Opera or Google Chrome. The coding exercises can be performed on browser-based web platforms.
Your instructor will officially sign the verified premium digital certification. It will also have the NUS logo to demonstrate your accomplishments. It is easily shareable on LinkedIn and can enhance your resume or CV.
The course is already open for enrolment and you can join the course on edX’s website now.
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