Artwork

A tartalmat a Avery Smith - Data Career Coach biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Avery Smith - Data Career Coach vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Player FM - Podcast alkalmazás
Lépjen offline állapotba az Player FM alkalmazással!

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

30:27
 
Megosztás
 

Manage episode 514953482 series 3610716
A tartalmat a Avery Smith - Data Career Coach biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Avery Smith - Data Career Coach vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/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 epizódok

Artwork
iconMegosztás
 
Manage episode 514953482 series 3610716
A tartalmat a Avery Smith - Data Career Coach biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Avery Smith - Data Career Coach vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/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 epizódok

Minden epizód

×
 
Loading …

Üdvözlünk a Player FM-nél!

A Player FM lejátszó az internetet böngészi a kiváló minőségű podcastok után, hogy ön élvezhesse azokat. Ez a legjobb podcast-alkalmazás, Androidon, iPhone-on és a weben is működik. Jelentkezzen be az feliratkozások szinkronizálásához az eszközök között.

 

Gyors referencia kézikönyv

Hallgassa ezt a műsort, miközben felfedezi
Lejátszás