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Practical Data Science
(Μ36101P) - Panagiotis Louridas
Course Description
The course treats tools, best practices, and practical applications of theoretical results in Data Science that enable us to process efficiently and leverage various forms of data using the Python programming language.
The course material is available from the following Google Drive link:
https://drive.google.com/drive/folders/0B26_NyylDb8qRUxxOFpWVWdUVlk?resourcekey=0-hwvbuRyYOb9zmLUtSQ7AWQ&usp=sharing
Creation Date
Monday, November 9, 2015
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There is no syllabus