509 7th Street NW, 3rd Floor
Washington D.C. 20004
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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 enroll in General Assembly's upcoming Data Science course. Using Zoom and Slack, this course is hands-on and exercise based, so students will get plenty of practice.
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
Basic technical aptitude and orientation to computers, and curiosity to learn new tools. Prior experience with the use of computers for analysis or repetitive tasks – such as Excel or SQL. Installation of Anaconda for Python 3.6, a free distribution of python that includes libraries of open source Python tools (http://continuum.io/downloads).
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