Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The need for smart analytics tools in the fields of architecture, construction, and the building industry is increasing as data sources that influence inhabitants' welfare, and the built environment's energy performance are 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. There are two modes to take this programme, certificate and free mode. In the free audit mode, the candidates will get access only for a limited duration.
The Highlights
- 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
Programme Offerings
- digital learning
- Free course access
- Self-paced learning
- video lectures
- English video transcript
- Paid verified certification
- Expert instructors
- Structured curriculum
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 16617 | yes | NUS |
- 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 ₹ 16,617
- 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
Course Name | Fee |
Data Science for Construction, Architecture, and Engineering(Audit Only) | FREE |
Data Science for Construction, Architecture, and Engineering(Verified Track) | ₹16,617 |
Eligibility Criteria
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
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:
- Facilities managers
- Building industry professionals
- Engineers
- Architects
- Construction managers
Admission Details
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.
Application Details
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.
The Syllabus
Instructors
NUS Frequently Asked Questions (FAQ's)
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.