Python, Data & Rock'n'Roll
Offered By: EuroPython Conference via YouTube
Course Description
Overview
Explore the evolution and correlations in rock music lyrics through a data-driven approach in this EuroPython 2016 conference talk. Dive into a personal project that combines web crawling, NoSQL databases, Natural Language Processing, and data visualization techniques to analyze the thematic progression of iconic rock bands like David Bowie, Nirvana, and Pink Floyd. Discover how Python and data science methodologies can be applied to uncover fascinating insights about the lyrical content of some of the greatest rock bands of all time, bridging the gap between scientific analysis and musical passion.
Syllabus
Claudia Guirao Fernández - Python, Data & Rock'n'Roll
Taught by
EuroPython Conference
Related Courses
Intro to StatisticsStanford University via Udacity Introduction to Data Science
University of Washington via Coursera Passion Driven Statistics
Wesleyan University via Coursera Information Visualization
Indiana University via Independent DCO042 - Python For Informatics
University of Michigan via Independent