Analytics in Practice✓

YouTube @analytics-in-practice Lifestyle (sociology) 📍 United States

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🔄 Data last refreshed 3 hours ago

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Subscribers

2.6K

Total Views

117K

Videos

688

Channel age

19 yrs

🧰 Free analysis for Analytics in Practice

🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

💡 Facts

🗓️Joined YouTube in 2006 — 19 years ago.

🏆Ranked #29,644 among all influencers on SocialDB.

🎯Top Lifestyle (sociology) influencer — #6,796 in the niche.

📍Based in United States.

👥 Audience demographics

Estimated

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

Gender split

Male 25% Female 75%

Age · peak 18-24

13-178%

18-2432%

25-3431%

35-4416%

45+13%

Top geographies

United States46%
United Kingdom8%
Canada7%
Australia4%
India5%

Likely interests

EntertainmentLifestyleTrending

🕵️ Fake follower check

Estimated

60/100

Fair Credibility score

81%

Real Real audience

Low Fake-follower risk

Low Data confidence

Est. 81% real, active audience · Low fake-follower risk.
Limited engagement data — score uses the signals available.
Verified account.
Established account (19+ years old).

Low confidence — few signals are public for this listing, so treat it as a rough screen. Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

💚 Brand affinity

Estimated

Brands Analytics in Practice's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Shopify

Epidemic Sound

BetterHelp

Incogni

Surfshark

Nebula

Saily

Genshin Impact

Fiverr

About

Analytics in Practice turns analysis into action. You’ll learn how to go from messy data to informed decision making, including forecasting, time-series analysis, A/B testing, causal inference, dashboards, and automation. Here you will see step-by-step experiments done in Python, SQL, Excel, and the occasional BI tool. You will see many case studies from finance to operations to marketing, and reusable templates you can apply in many different scenarios. I also cover tradeoffs, such as cost vs. accuracy, speed vs. rigor, and the “last mile” of deployment. I have my MBA in finance from a top 10 university. A large majority of my videos are focused on finance and investing. Please notice, I am NOT dispensing any investment advice, of any kind, in my finance videos. I am simply demonstrating the math, stats, and strategies behind investing. All videos are designed for entertainment purposes only. If you make money, that's great. If you lose money, that's on you.