Data Science for Healthcare Claims Data

Data Science for Healthcare Claims Data ✓

YouTube @datascienceforhealthcarecl836 Technology
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Subscribers
349
Total Views
12.4K
Videos
17
Channel age
5 yrs

💡 Did you know?

🗓️Joined YouTube in 2020 — 5 years ago.
🏆Ranked #16,406 among all influencers on SocialDB.
🎯Top Technology influencer — #637 in the niche.

🛡️ 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 76% Female 24%
Age · peak 18-24
13-1711%
18-2430%
25-3429%
35-4419%
45+11%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Likely interests
TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

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

Amazon Affiliate Keeps Patreon Genshin Impact Shopify Fiverr Epidemic Sound Audible Grammarly Cash App

About

This channel provides preview content for the online course 'Data Science for Healthcare Claims Data'.

*** Grab your free quick guide to healthcare claims data now! This comprehensive guide is your perfect starting point, offering valuable insights and a sample dataset to kickstart your journey into mastering claims data analysis. Don’t miss out—Get it today and take the first step toward data-driven healthcare decisions!

https://docs.google.com/forms/d/e/1FAIpQLSdELU8XBZ2mTriw3E7ub7uYzUKYbZZf1oZjHM-_6UlL0tUG7g/viewform

*** Get access to the full course here: https://www.udemy.com/course/data-science-for-healthcare-claims-data/?referralCode=9E3B7313BD28F30080C8

🔀 Audience overlap

Estimated

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

DanielTechArt DanielTechArt 48% Practical Academy Practical Academy 48% SM Diyelectric SM Diyelectric 45% GH0ST3CH GH0ST3CH 43% TechyRem TechyRem 40% Web Development Web Development 40%

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