Data Science for Construction, Architecture and Engineering

Description

In this course, you will learn:

• What is the significance of data science in the built environment?
• Why should professionals in the construction business learn to code?
• A beginner's guide to the Python programming language.
• The Pandas data analysis library is described in detail.
• Assistance with data loading, processing, and merging.
• Data from buildings is visualised.
• Building data is subjected to basic machine learning concepts.
• Parametric analysis examples for the integrated design process.
• Time-series data from IoT sensors can be processed in a variety of ways.
• Examples of tenants' thermal comfort data analysis.
• There are numerous places to begin employing data science in other construction-related duties.

Syllabus:

1. Introduction to Course and Python Fundamentals
2. Introduction to the Pandas Data Analytics Library and Design Phase Application Example
3. Pandas Analysis of Time-Series Data from IoT and Construction Phase Application
4. Statistics and Visualization Basics and Operations Phase Application 
5. Introduction to Machine Learning for the Built Environment