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  • e-book 
    Statistical Thinking for the 21st Century

    Statistical Thinking for the 21st Century

    Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

    Subjects:
    Psychology and Statistics and Research Methods
    Keywords:
    R (Computer program language) Psychology -- Statistical methods Information visualization Textbooks
    Resource Type:
    e-book
     
  • MOOC 
    Data Science for Construction, Architecture and Engineering

    Data Science for Construction, Architecture and Engineering

    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. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.

    Subjects:
    Computing, Data Science and Artificial Intelligence
    Keywords:
    Python (Computer program language) City planning -- Statistical methods Information visualization
    Resource Type:
    MOOC