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Statistical Learning and Data Science icon

How much does Statistical Learning and Data Science earn?

YouTube channel from @compstatmunich9067 · YouTube Channels

✓ Verified MRR ★ 1.8 · 3K Free

~0/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

Statistical Learning and Data Science's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Statistical Learning and Data Science sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Statistical Learning and Data Science highlighted.

Statistical Learning and Data Science vs comparable apps

Revenue trajectory side-by-side. Bold = Statistical Learning and Data Science, ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What Statistical Learning and Data Science actually does (from store listing)

Welcome to the official Youtube channel of the chair “Statistical Learning and Data Science” (SLDS) at LMU Munich. Here, you’ll find lecture recordings covering foundational and advanced topics in machine learning, statistics, and data science --- all designed to build a deep, intuitive, and mathematically rigorous understanding of the field. Each playlist corresponds to a dedicated course module, mirroring the open-access materials in our GitHub repo, where you could explore code, slides, and …
Read full description →

Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to Statistical Learning and Data Science. Click any to see its detail page.

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Angel Eyes icon Angel Eyes 0 ★ 1.0 37
Britton Hardrock icon Britton Hardrock 0 ★ 1.0 45
Cleverpedia icon Cleverpedia 0 ★ 1.0 10
theobbreezy icon theobbreezy 0 ★ 1.4 498
PicelBoi icon PicelBoi 0 ★ 1.3 340
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Statistical Learning and Data Science's tracker page for current rating, reviews and snapshot timeline.

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