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.

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1,304 learners enrolled

Skill level
Beginner
Time to complete
Approx. 1 hours
Certificate of completion
Included with paid plans
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.

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Projects in this course

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

Data Science Domain Manager at Codecademy and Adjunct Assistant Professor at the CUNY Graduate Center

Michelle McSweeney is the Data Science Domain Manager at Codecademy and an Adjunct Assistant Professor at the CUNY Graduate Center. 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.

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Frequently asked questions about Analyze Taylor Swift Lyrics with Python Case Study

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.

Analyze Taylor Swift Lyrics with Python Case Study

About this course

Syllabus