Data Science for Construction, Architecture and Engineering
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.
Conoce a tus instructores
Obtén un Certificado Verificado para destacar los conocimientos y las habilidades que adquieras$199 USD
Oficial y verificado
Obtén un certificado con la firma del instructor y el logotipo de la institución para demostrar tus logros y aumentar las posibilidades de conseguir trabajo
Fácil de compartir
Agrega el certificado a tu currículum o publícalo directamente en LinkedIn
Incentivo comprobado
El certificado te da un motivo más para completar el curso
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Testimonios de los estudiantes
“The course broadened my understanding of how data science fundamentals could be integrated into my workflow as a building systems engineer. Working the in-class examples with real building data solidified the concepts in my mind, and the resources provided at the end of each module inspired me to learn more.” – Holly Brink, Senior Engineer at Arup in San Francisco, California, USA
“The overall content of this course is fabulous and I would recommend all the folks across the building industry taking this course. It not only taught me how data science could be implemented in the building science industry with real-world application but also inspired me to systematically increase my day-to-day work efficiency using the data analytical skills.” – Te Qi, Senior Environmental Designer at Atelier Ten in San Francisco, California, USA
“This course does a great job of blending all the basics of data science into a built environment narrative. Although it is a concise, excellent references to platforms and learning material are provided when the depth of certain topics extend beyond the scope of the course. The career path overview makes this content especially useful for students to get an idea of how these skills are used in real-world applications. All in all, it is hard to find a more tailor-made course for the AEC industry!” – Justin Zarb, Engineer at BuroHappold Engineering in Berlin, Germany
“Absolutely amazing! Not only is the content extremely relevant for my job, it's also presented in a way that make even the most difficult concepts understandable. Amazing team behind the course - always ready to answer any question on the discussion forum. Exercises are challenging but doable - just as they should be. I'm going to recommend this course to anyone who mentions, or even thinks of mentioning, the word 'data'.” - Timo Harboe Nielsen, Structural Engineer at Bjarke Ingels Group
“This is hand-down the most insightful and useful course I have taken on edX! I would highly recommend this course to everyone in the energy /architecture/ construction fields working with tedious tasks that involve large amounts of data. This course has been very well curated to provide introduction to managing such data smartly with Python. You will not only be introduced to Pandas, time-series analysis, data cleaning, and visualization, but you will also develop an interest in understanding how machine learning can be used to make smarter predictions. Throughout the course, you will work with real world relevant datasets. While the machine learning section towards the end of the course is only introductory, it is enough to pique your curiosity. I personally cannot wait to check out all the additional resources and Kaggle competition mentioned and build up on all I learnt in this course!” – Revati Deshpande, Energy Engineer, Portland, OR, USA
Preguntas frecuentes
Do I need to know how to program before I start?
This course has been designed such that we start with the basics of Python and the Colaboratory environment in a way that someone who has never programmed could get started. Most participants without any programming experience do well, but the speed with which we start moving towards the Pandas package is fast. Therefore, doing a basic Python introduction course will be helpful for some users.
What software will I need?
The only software you need is a recent version of a web browser such as Chrome or Firefox. All of the coding and exercises can be done in an online platform.
What is the passing grade for the course?
An overall average for all assignments of 75% is required to pass the course. You need to be a Verified Certificate participant to do the assignments and receive scores for them.
Do I need to achieve 75% on each assignment?
No, you need an average grade for all assignments of 75%. This means you can do poorly or miss an assignment as long as you do well enough on other assignments to achieve 75% overall.