This course introduces data science skills targeting applications in the design, construction, and operations of buildings. You will learn practical coding within this context with an emphasis on basic Python programming and the Pandas library.
"Data Science for the Built Environment" is an innovative and highly relevant course designed specifically for professionals in the architecture, engineering, construction, and facilities management fields. This course bridges the gap between traditional data analysis methods and the cutting-edge world of data science, focusing on the unique challenges and opportunities within the built environment sector.
This course is designed for beginners with little to no previous programming experience. There are no specific prerequisites, making it accessible to a wide range of professionals in the built environment sector.
Explore more courses to enhance your cloud computing and Kubernetes skills.
Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps
"Basics of Data Science" gives a comprehensible overview of many fundamental concepts and tools of data science, including data quality and data preprocessing, supervised and unsupervised learning techniques including their evaluation, frequent itemsets and association rules, sequence mining, process mining, text mining, and responsible data science.
