Code for Data Science

Code for Data Science ✓

YouTube @codefordatascience Lifestyle (sociology)
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Subscribers
27
🔥 Buzz rank
#41,306 ▼30736
Total Views
793
Videos
44
Channel age
2 yrs

💡 Did you know?

🗓️Joined YouTube in 2024 — 2 years ago.
🏆Ranked #22,582 among all influencers on SocialDB.
🎯Top Lifestyle (sociology) influencer — #5,225 in the niche.
🚀Gained 1 subscribers in the last 7 days.

🛡️ Audience credibility

50/100 Fair
  • Est. 70% real, active audience · Medium fake-follower risk.
  • Limited view data — score is based on the signals available.
Est. authentic audience
70%
Fake-follower risk
Medium

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 22% Female 78%
Age · peak 25-34
13-179%
18-2428%
25-3432%
35-4417%
45+14%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands Code for Data Science's audience is most likely to respond to — from detected sponsorships in this niche.

Amazon Affiliate Keeps Patreon Shopify Nebula BetterHelp Audible Genshin Impact Surfshark Incogni

About

This channel belongs to the "Statistics for Data Scientists" course on Udemy.
Here I will upload all of the coding videos where I explain each line of Python code in detail.
For more information and context about the code discussed here, visit the course webpage:

Happy Learning! :)

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

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