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182: This Data Analyst Has Analyzed 1M+ Songs (here’s everything he knows)

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Manage episode 514897643 series 3674951
Content provided by Avery Smith - Data Career Coach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Avery Smith - Data Career Coach or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away!

Data meets music 🎶 — Avery sits down with Chris Reba, a data analyst who’s studied over 1 million songs, to reveal what the numbers say about how hits are made. From uncovering Billboard chart fraud to exploring how TikTok reshaped music, this episode breaks down the art and science behind every beat.

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator

⌚ TIMESTAMPS

00:00 - Intro: How Chris analyzed 1M+ songs using data

01:10 - What data reveals about hit songs and music trends

03:30 - Combining qualitative and quantitative analysis

07:00 - The 1970s Billboard chart fraud explained

10:45 - Why key changes disappeared from modern pop

13:30 - How hip-hop changed song structure and sound

14:10 - TikTok’s influence on the music industry

16:10 - Inside Chris’s open-source music dataset

22:10 - Best tools for music data analysis (SQL, Python, Datawrapper)

27:45 - Advice for aspiring music data analysts

🔗 CONNECT WITH CHRIS

📕 Order Chris's Book: https://www.bloomsbury.com/us/uncharted-territory-9798765149911

📊 Check out Chris's Music Dataset: https://docs.google.com/spreadsheets/d/1j1AUgtMnjpFTz54UdXgCKZ1i4bNxFjf01ImJ-BqBEt0/edit?gid=1974823090#gid=1974823090

💌 Subscribe to Chris's' Newsletter: https://www.cantgetmuchhigher.com

📲 Follow Chris on TikTok: https://www.tiktok.com/@cdallarivamusic

🔗 CONNECT WITH AVERY

🎥 YouTube Channel

🤝 LinkedIn

📸 Instagram

🎵 TikTok

💻 Website

Mentioned in this episode:

✨ Try Julius!

This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP

https://landadatajob.com/Julius-DCP

  continue reading

182 episodes

Artwork
iconShare
 
Manage episode 514897643 series 3674951
Content provided by Avery Smith - Data Career Coach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Avery Smith - Data Career Coach or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away!

Data meets music 🎶 — Avery sits down with Chris Reba, a data analyst who’s studied over 1 million songs, to reveal what the numbers say about how hits are made. From uncovering Billboard chart fraud to exploring how TikTok reshaped music, this episode breaks down the art and science behind every beat.

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator

⌚ TIMESTAMPS

00:00 - Intro: How Chris analyzed 1M+ songs using data

01:10 - What data reveals about hit songs and music trends

03:30 - Combining qualitative and quantitative analysis

07:00 - The 1970s Billboard chart fraud explained

10:45 - Why key changes disappeared from modern pop

13:30 - How hip-hop changed song structure and sound

14:10 - TikTok’s influence on the music industry

16:10 - Inside Chris’s open-source music dataset

22:10 - Best tools for music data analysis (SQL, Python, Datawrapper)

27:45 - Advice for aspiring music data analysts

🔗 CONNECT WITH CHRIS

📕 Order Chris's Book: https://www.bloomsbury.com/us/uncharted-territory-9798765149911

📊 Check out Chris's Music Dataset: https://docs.google.com/spreadsheets/d/1j1AUgtMnjpFTz54UdXgCKZ1i4bNxFjf01ImJ-BqBEt0/edit?gid=1974823090#gid=1974823090

💌 Subscribe to Chris's' Newsletter: https://www.cantgetmuchhigher.com

📲 Follow Chris on TikTok: https://www.tiktok.com/@cdallarivamusic

🔗 CONNECT WITH AVERY

🎥 YouTube Channel

🤝 LinkedIn

📸 Instagram

🎵 TikTok

💻 Website

Mentioned in this episode:

✨ Try Julius!

This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP

https://landadatajob.com/Julius-DCP

  continue reading

182 episodes

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