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Python is a versatile and widely-used programming language with many applications. This bootcamp explores Python's place in the scientific ecosystem, and how the language, with several readily-available open-source libraries, can serve as a powerful tool for data analysis.
Designed as a stand-alone introduction to the data science aspects of Python, this class is also a recommended refresher for students planning to enrol in General Assembly's upcoming Data Science course. This bootcamp is hands-on and exercise based, so participants will get plenty of practice.
Participants must have Anaconda pre-installed.
Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our part-time Data Science course, or transform your career in tech with our full-time Data Science Immersive.
NOTE: this session will not be recorded, however, slides will be sent within 7 days following the class. Participants are also encouraged to download and save any shared materials during class for later reference.
Dr. Jesús Rogel-Salazar Principal Data Scientist
Curiosity and enquiry has helped Jesús (better known as J) follow a winding path that has passed from physics, chemistry, finance, analytics and even data journalism. He obtained a PhD at Imperial College for work on quantum atom optics and has worked in academic and research posts for Imperial College London and the University of Hertfordshire, as well as for organisations such as IBM Data Science Studio, Prudential and Dow Jones. He has published a number of academic papers and is the author of a couple of books including “Data Science and Analytics with Python”.
When not working you can find Jesús tuned into sci-fi films (good and bad), watching rugby, trying to improve his running times, or writing bits and pieces for his blog http://jrogel.com
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