What is data analysis?

Every time you visit a website or open an application, you contribute to the tons of data that are created every day. Data analysis means combing through this data to find patterns and trends that can help inform decision-making and product development.

How is data analysis used in the music industry?

Streaming apps like Spotify and Pandora use data analysis to learn about your tastes and preferences and provide better suggestions. The wider music industry also uses it to evaluate the performance of songs and artists.

What kind of jobs in music use data analysis?

Data Scientists and Analysts are in high demand in the music industry as businesses and labels use data to learn more about listeners’ preferences, track the performance of different artists and projects, and build new platforms and technologies.

What else should I study if I am learning about music data analysis?

If you want to continue building your data analysis skills, you’ll want to learn how to use SQL, along with other Python libraries like Scikit-learn and TensorFlow.

Free

Course

Analyze Taylor Swift Lyrics with Python Case Study

Use sentiment analysis and natural language processing to analyze Taylor Swift’s lyrics.

This course includes

6,445 learners enrolled

This course includes

Skill level
Beginner
Time to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary

1 hour
Projects
1
Prerequisites
None

About this course

If you’re looking to analyze large amounts of text and gain deeper insight into music, try this case study. You will put your natural language processing and machine learning skills to use answering interesting questions about Taylor Swift’s lyrics. We will provide you with the context, data, and instructions that you need to analyze themes and sentiments in Taylor Swift’s albums. You’ll explore how she thinks about time, especially Midnight, as well as day and night. You’ll create visualizations and see her music in a whole new way.

Syllabus

Analyze Taylor Swift Lyrics
Use sentiment analysis and NLP to better understand Taylor Swift’s discography.

article Analyze Taylor Swift Lyrics with Python
project Analyze Taylor Swift Lyrics with Python
informational Analyze Taylor Swift Lyrics with Python
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Projects in this course

practice Project
Analyze Taylor Swift Lyrics with Python
Use sentiment analysis and natural language processing to discover how Taylor Swift's underlying themes and vibes have changed throughout her career.

Meet the creator of the course

Meet the full team

Michelle McSweeney

Michelle has a Ph.D in Linguistics, with a certificate in Interactive Technology and Pedagogy from the CUNY Graduate Center, and a Bachelor's in Chemistry from Michigan State University. She has published with Bloomsbury and Routledge, and has a book forthcoming with Oxford University Press. Michelle was a postdoctoral researcher in the Center for Spatial Research at Columbia University, and taught research methods, data science, and mathematics at Pratt Institute, The New School, CUNY, and Lansing Community College. She was an NLP Data Scientist at Converseon.ai, and a freelance data scientist.

Michelle has a Ph.D in Linguistics, with a certificate in Interactive Technology and Pedagogy from the CUNY Graduate Center, and a Bachelor's in Chemistry from Michigan State University.

Meet the full team

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