[Bldg-sim] IBPSA-USA Education Committee: Python Programming for Energy Modelers

[Steven Ayala]

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Join the Education Committee of IBPSA-USA for their July 14th webinar

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.

This seminar focuses on outlining the process of acquiring data science
skills for building performance analysts with little or no previous
programming experience. An introduction to data science skills will be
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. 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.

*Date & Time: *Wednesday July 14, 2021; 8am-9am Pacific
Register Now
<https://www.eventbrite.com/e/python-programming-for-energy-modelers-tickets-160845602527>

*Presenter: *

<https://sg.linkedin.com/in/claytonmiller>

*Clayton Miller* <https://sg.linkedin.com/in/claytonmiller>, Assistant
Professor - National University of Singapore

Clayton is an Assistant Professor at the National University of Singapore
in the School of Design and Environment (SDE). He holds a Doctor of
Sciences (Dr. sc. ETH Zurich) from the ETH Zürich, an MSc. (Building) from
the National University of Singapore (NUS), and a BSc./Masters of
Architectural Engineering (MAE) from the University of Nebraska - Lincoln
(UNL). He is a former U.S. Fulbright Scholar to Singapore and a Walter
Scott Jr. Scholar at UNL.

He teaches the edX course, *Data Science for Construction, Architecture and
Engineering*
<https://www.edx.org/course/Data-Science-for-Construction-Architecture-and-Engineering>
.
Thank you to our sponsors for their continued support!
Become an IBPSA-USA sponsor. <https://www.ibpsa.us/become-sponsor>See all
of our sponsors. <https://www.ibpsa.us/our-sponsors>
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