Python is a versatile and widely-used programming language with many applications. This workshop series 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 crash workshop to Python programming, this class is also a recommended refresher for participants planning to enrol in General Assembly's upcoming part-time and full-time Data Science courses. The workshop is hands-on and exercise based, so participants will get plenty of practice.
You will be given homework tasks to complete between the two sessions to ensure the best learning outcomes for this program.
This workshop is highly interactive with group activities and discussions throughout. To participate you will need to:
Ability to write and run Python scripts
Ability to use Python for basic data analysis tasks (data cleaning and reformatting, exploration, analysis)
Understanding of Python’s role as a tool in the backend and analysis toolkits
Understanding of the possibilities opened up through a better understanding of Python
General technical savvy, and comfort with computers. Some prior experience with use of computers for analysis or repetitive tasks would be helpful.
Please install Anaconda for Python 3.7, which is a free distribution of python that includes libraries of open source python tools.
This session is not recorded however you will receive the instructors slides following the session.
If you have any questions please reach out to email@example.com
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