LIVE INDEX·29,226 channels
02:37 UTC
Rank#177 in TechNo safety flags
Анализ данных (Data analysis) Telegram channel profile photo

Анализ данных (Data analysis)

Join Channel →t.me/data_analysis_ml
Composite score
36.8/100

Cohort-normalised vs 1,408 tech channels.

Subscribers
50.7K
7d growth
+63
30d growth
+129
Last post
1 month ago
Tracked since
Aug 2026
Our read

What is Анализ данных (Data analysis)?

Анализ данных (Data analysis) is a tech Telegram channel. With over 50.7K subscribers, it is a steadily growing community in the tech space.

Score inputs · v3.2 · 5 componentsMETHODOLOGY →

What goes into the 36.8

×2.0Size
50.7K subs
×1.0Activity
5.9K views/post
×1.5Growth
+63 (7d)
×0.5Trust
Clear
×1.0Category fit
Tech
bars show each component's weight; values are this channel's inputsweighted, then scored out of 100
Activity · last 30 days

Channel activity.

Posts last 30d
100
Avg views/post
5.9K
Avg reactions
27
Last post
1 month ago
Subscriber growth · 19 days tracked

Subscriber growth · last 30 days

Subscribers now
50.7K
7-day change
+63
+0.1%
30-day change
+129
+0.3%
Period peak
50.7K
20 Sept 2026
Days tracked
19
since 22 Aug 2026
Trend
→ Flat
over the period: +0.3%source: channel_history · daily
Pinned message · pinned Jul 19, 2026
🔥 Хочешь быстрее расти в IT? Хватит учиться в одиночку В IT прокачивается тот, кто каждый день видит сильные идеи, новые инструменты, реальные задачи, вакансии и разборы. Окружение решает больше, чем кажется. Собрал папки и каналы, где можно быстрее влиться в нужное направление, следить за трендами и не вариться в своём пузыре. AI: t.me/ai_machinelearning_big_data Python: t.me/pythonl Linux:…READ FULL ▾

t.me/linuxacademiya Хакинг: t.me/linuxkalii DevOps: t.me/DevOPSitsec Docker: t.me/DevopsDocker Golang: t.me/Golang_google Rust: t.me/rust_code C++: t.me/cpluspluc C#: t.me/csharp_1001_notes Java: t.me/java_library JavaScript: t.me/javascriptv React: t.me/react_tg Frontend: t.me/front PHP: t.me/phpshka Android: t.me/android_its Мобильная разработка: t.me/mobdevelop Базы данных: t.me/sqlhub Data Science: t.me/data_analysis_ml Big Data: t.me/bigdatai Математика: t.me/data_math Физика: t.me/fizmat Kubernetes: t.me/kubernetc GameDev: https://t.me/gamedev Haskell: t.me/haskell_tg Собеседования и ка

Recent posts · last 4
  • Aug 15, 2026·1 month ago

    ⚡️ Harness Engineering - полный курс на русском Как заставить AI-агента писать код надёжно. Не «какую модель выбрать», а как…

    1,841· 17
  • Aug 15, 2026·1 month ago

    📎 Media post

    2,198
  • Aug 15, 2026·1 month ago

    🚨 Anthropic опубликовала новый Risk Report В отчёте описаны неожиданные случаи поведения моделей: • агенты Mythos 5 в общей рабочей…

    2,194· 26
  • Aug 14, 2026·1 month ago

    📎 Media post

    18,390
Discussion group
t.me/machinee_learning
OPEN DISCUSSION ↗
Where this channel ranks

Анализ данных (Data analysis) across the index.

Similar channels.

Why these? Same category, neighbouring score band, 7d delta within ±5pp.

Frequently asked questions.

What is Анализ данных (Data analysis)?

Анализ данных (Data analysis) is a tech Telegram channel. With over 50.7K subscribers, it is a steadily growing community in the tech space.

How many subscribers does Анализ данных (Data analysis) have?

Анализ данных (Data analysis) has 50.7K subscribers. It has gained 129 subscribers in the last 30 days.

How is Анализ данных (Data analysis) ranked?

Анализ данных (Data analysis) is ranked #177 among Tech channels on Telegram Rankings, with a composite score of 36.8/100. Scores are cohort-normalised and recomputed every sync.

Is Анализ данных (Data analysis) legit?

Анализ данных (Data analysis) carries no safety flags in our index, though it is not verified by Telegram. Treat unsolicited financial advice with caution.

How do I join Анализ данных (Data analysis)?

Open t.me/data_analysis_ml in the Telegram app, or use the Join Channel button on this page. Telegram Rankings is an independent index and is not affiliated with Анализ данных (Data analysis).

Data provenance
Last synced
10h ago
Methodology
v3.2
Sync cadence
~20 min
Days tracked
19

Sources: Telegram MTProto (channel metadata, posts) · channel_history (daily subscriber snapshots). Composite score recomputed each sync against the tech cohort.