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Channel

Инжиниринг Данных

@rockyourdata

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

23,732subscribers

-54 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001329188755
TypeChannel
Username@rockyourdata
DescriptionДелюсь новостями из мира аналитики и карьерными советами. 15 лет в Аналитике и Инжиниринге Данных, 10 лет в MAANG 🛠️ dataengineer.ru | 🏄‍♂️ Surfalytics.com №5017813306 Реклама: https://almond-rule-130.notion.site/1199f595f76a8030ba1be1e607c9a8ce
Created2 November 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/rockyourdata

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

23,73223,81323,772.56 August 2026 — 23,786 subscribers6 August 2026 — 23,786 subscribers6 August 2026 — 23,781 subscribers8 August 2026 — 23,783 subscribers9 August 2026 — 23,789 subscribers10 August 2026 — 23,793 subscribers12 August 2026 — 23,792 subscribers13 August 2026 — 23,788 subscribers14 August 2026 — 23,791 subscribers16 August 2026 — 23,793 subscribers17 August 2026 — 23,799 subscribers18 August 2026 — 23,807 subscribers19 August 2026 — 23,813 subscribers20 August 2026 — 23,812 subscribers22 August 2026 — 23,811 subscribers23 August 2026 — 23,805 subscribers25 August 2026 — 23,809 subscribers26 August 2026 — 23,805 subscribers28 August 2026 — 23,807 subscribers29 August 2026 — 23,803 subscribers30 August 2026 — 23,807 subscribers31 August 2026 — 23,798 subscribers1 September 2026 — 23,792 subscribers2 September 2026 — 23,790 subscribers3 September 2026 — 23,786 subscribers5 September 2026 — 23,778 subscribers8 September 2026 — 23,769 subscribers11 September 2026 — 23,771 subscribers13 September 2026 — 23,779 subscribers14 September 2026 — 23,771 subscribers16 September 2026 — 23,757 subscribers19 September 2026 — 23,767 subscribers25 September 2026 — 23,732 subscribers6 August 202625 September 2026
33 measurements spanning 50 days, net -54. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 23,720–23,825 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 06:1623,732-35
19 Sept 2026, 00:1923,767+10
16 Sept 2026, 18:3923,757-14
14 Sept 2026, 19:1823,771-8
13 Sept 2026, 02:3823,779+8
11 Sept 2026, 05:4123,771+2
8 Sept 2026, 06:4023,769-9
5 Sept 2026, 03:1923,778-8
3 Sept 2026, 10:0423,786-4
2 Sept 2026, 03:2523,790-2
1 Sept 2026, 06:5923,792-6
31 Aug 2026, 05:4123,798-9
30 Aug 2026, 07:0323,807+4
29 Aug 2026, 07:0623,803-4
28 Aug 2026, 04:3823,807+2
26 Aug 2026, 04:4823,805-4
25 Aug 2026, 03:3423,809+4
23 Aug 2026, 20:1423,805-6
22 Aug 2026, 04:1923,811-1
20 Aug 2026, 18:3723,812first reading

Engagement

68 posts held, back to 28 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 23,732 subscribers
Avg views / post
3,280
26 posts measured
Reaction rate
0.927%
reactions ÷ views · ER floor
Posts in window
26
of 68 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 23 of 26 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held68 (28 July 2026 – 26 September 2026)
Views total85,350
Reactions total719
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 00:37 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈2,280
Videos
≈64
Links
≈3,360

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 24s
Average length
1m 24s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

2,028 reactions across 63 posts, in 15 distinct kinds. The most used accounts for 49.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥1,00449.5%
💯28814.2%
⚡20710.2%
🌚1095.37%
🙈944.64%
😭864.24%
🐳803.94%
🙊371.82%
🫡371.82%
🍌271.33%
🤷261.28%
🙉170.838%
👨‍💻100.493%
🦄40.197%
🤷‍♀20.099%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 63 of the 68 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2,028 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 68 most recent posts we hold, published 28 July 2026 to 26 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 66 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rockyourdata. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 68 most recent posts we hold for this entry, published 28 July 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
5.88%
4 of 68 posts carry an ad marker
Regulatory tokens
4
posts carrying an erid · 4 distinct tokens
Median views · ads
5,780
over 4 measured posts
Median views · rest
4,610
over 62 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzquZf5112 August 202612 August 2026
2Vtzqv48qtp122 September 202622 September 2026
2Vtzqw5Mg2F121 August 202621 August 2026
2VtzqxS4LDR111 August 202611 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 68 most recent posts we hold, published 28 July 2026 to 26 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

26 Sept 2026, 16:51 UTC≈1,550 views16 reactionsread 27 September 2026

Не жалуйся на систему, а разумно подстраивай себя под обстоятельства, чтобы получить преимущество и эксплуатировать устройство вселенной. Это куда более продуктивный подход.

💯14🌚2

26 Sept 2026, 16:51 UTC≈1,490 views48 reactionsread 27 September 2026

Увидел сегодня советы, как стать лучше и успешней, ничего нового, но хочу вам напомнить, если вдруг вы не знаете как быть и с чего начать: Было бы желание, а поднять свои доходы с низкой базы довольно легко. Из 100 т.р. в мес дорасти до 500-1000 займет не очень много времени, не более года. Инструкция следующая: 1. Перестать общаться с кем-либо, кто не нужен тебе для решения задач развития, и начать общаться толь…

🙈26❤‍🔥9💯4🙉4🦄3🍌1🐳1

26 Sept 2026, 02:06 UTC≈2,240 viewsread 27 September 2026
Photo

И еще одно видео по теме Jev CEO: I made ChatGPT, now I'm building what's next, оно датировано 1 июля 2026 года, еще до релиза Jev. В нем очень хорошо рассказывают про проблемы с современными моделями - "Why do all LLMs require a human in the loop? The simple answer is we literally put them in the loop" — то есть человек буквально был встроен в процесс обучения через RLHF (Reinforcement Learning from Human Feedback)…

26 Sept 2026, 01:31 UTC≈2,160 viewsread 27 September 2026
Photo

Вы уже слышали про новую фронтир-модель Jev? Чтобы лучше понять, для чего она нужна и как её использовать, можете посмотреть видео Jev will 10x your Claude Code. Мне понравилось, как автор ссылается на книгу "Думай медленно, решай быстро" Даниэля Канемана. Jev — это система 1, она максимально быстро выдаёт ответ, но ответ простой: не текст, а типизированное решение (choice, score или noul/вероятность), выбранное и…

25 Sept 2026, 06:59 UTC≈2,700 views15 reactionsread 27 September 2026

Как понять, что агенты в команде реально заработали Эффект от AI-агента распределен по сотне мелких задач: SQL тут, дашборд там, презентация, ответ продакту. В новом выпуске «Доверительного интервала» аналитики Яндекса рассказали, как они это измеряют у себя. Схема такая: — основные метрики — adoption (доля аналитиков, которые пользуются инструментами) и время сессий с агентами; — взяли топ-10 самых активных польз…

❤‍🔥7🙈6⚡1👨‍💻1

24 Sept 2026, 23:23 UTC≈2,890 views33 reactionsread 27 September 2026
Photo

Наконец-то могу сказать, что накопленная дата имеет ценность. За 3 года (вот время летит-то) в Surfalytics в Discord мы накопили много ценных советов по поиску работы, резюме и тп. Это огромный объем информации и вручную сложно в нем ковыряться, но с помощью ИИ можно сделать ценный easy-going курс с примерами и цитатами.

❤‍🔥31⚡2

24 Sept 2026, 18:36 UTC≈3,030 views25 reactionsread 27 September 2026
Photo

AI конечно уже не тот; У нас накопилось много ценной информации в Discord про лучшие практики поиска работы. Я настроил Airflow и DuckLake, чтобы вытащить всю историю и на базе нее сделать курс. AI говорит “ай яй яй”, наверно это комплимент, ведь по честному работу практически не найти

🌚19⚡6

24 Sept 2026, 17:42 UTC≈3,090 views27 reactionsread 27 September 2026

Стоимость data stack растёт на границах между его компонентами Когда загрузка, хранение, обработка и визуализация реализованы в отдельных системах, data-команда поддерживает не только сами инструменты, но и обмен между ними. Изменение источника, схемы данных или способа расчета затрагивает сразу несколько интеграций. DataLens Platform объединяет основные этапы работы с данными. В основе находится lakehouse на S3 и …

⚡7🙈6🌚5❤‍🔥3🍌3🙉2🐳1

24 Sept 2026, 17:16 UTC≈3,040 views22 reactionsread 27 September 2026
Photo

На LinkediIn есть небольшой бесплатный курс (временно) - Build with AI: SQL AI Agents in Production На примере SQL задачек автор использует AI агентов вместе с различными методами. Я его не смотрел, но посмотрю, всего 1,5 часа. Мне понравилась идея посмотреть его, чтобы понять, что можно в свое резюме закинуть, чтобы рассказывать как мы с SQL строим космические корабли делаем AI.

⚡20❤‍🔥1💯1

23 Sept 2026, 20:35 UTC≈3,410 views28 reactionsread 27 September 2026

Последние пару недель я ковырял Azure Databricks с Claude Code. Как известно у Databricks есть Unity каталог и много enterprise фич. А еще в Enterprise хотят использовать No Public Network и No Public IP, то есть все наглухо закрыто, даже между средами разработки. Код инфраструктуры и declarative pipelines живет в Azure DevOps Repos и Pipelines. Это какой-то enterprise стандарт по Microsoft, для тех кто любит стр…

🌚13🫡11💯2🤷2

22 Sept 2026, 15:53 UTC≈3,580 views49 reactionsread 27 September 2026

В Surfalytics придумал новую полезную фичу - mock собеседование system design перед реальным собеседованием. На вход у меня есть описание вакансии и вместе с ИИ я составлю примерную архитектуру и решения, которые использует компания и дальше уже провожу собеседование, которое максимально приближено к кейсам компании (к кейсам описания вакансии) Провели про AWS System Design, где подсветили несколько советов и решени…

❤‍🔥40⚡6🫡2🌚1

22 Sept 2026, 07:59 UTC≈3,420 viewsread 27 September 2026
Advertisementerid 2Vtzqv48qtpPhoto

Как сегодня строят рекомендательные системы — и что будет с ними завтра? 30 сентября собираем RecSys-сообщество — разработчиков, ML/DS-специалистов и всех, кто делает персонализацию и рекомендации в реальных продуктах. В программе — доклады от экспертов Сбера. Поговорим о свежих подходах и нестандартных решениях на реальных кейсах. А после докладов переключаемся на неформальный режим: знакомимся, спорим про RecSys…

Showing the 12 most recent of 68 posts we hold for @rockyourdata. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@rockyourdata edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 August 2026
Most recent edit
27 August 2026

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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@kuzmin_dmitry91 · 1,750
#53
Крис про аналитику🧠🦾
@kris_the_analyst · 4,453
#54
Аналитика и growth mind-set
@analyticsgrowthmindset · 17,582
#55
Data New Gold
@data_new_gold · 3,481
#56
Machinelearning
@ai_machinelearning_big_data · 279,417
#57
Data Apps Design
@data_apps · 2,080
#58
Machine learning Interview
@machinelearning_interview · 30,308
#59
Симулейтив
@simulative_official · 7,469
#60
настенька и графики
@nastengraph · 28,213
#61
Глеб Михайлов
@mikhaylovgleb · 14,313
#62
Data Nature 🕊
@datanature · 6,214
#63
Сиолошная
@seeallochnaya · 79,594
#64
Зарплатник Аналитика
@zarplatnik_analytics · 11,546
#65
data.csv
@data_csv · 13,839
#66
Data Coffee
@datacoffee · 2,631
#67
Дата-сторителлинг
@data_publication · 11,933
#68
Data-comics
@datavizcomics · 6,499
#69
Лаборатория данных
@datalaboratory · 3,105
#70
addmeto
@addmeto · 71,835
#71
BOGDANISSSIMO
@bogdanisssimo · 6,992
#72
Power BI Design
@Design_PowerBI · 13,739
#73
ODS #jobs
@odsjobs · 14,059
#74
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
#75
табличный дизайн
@thisisnotatable · 7,270
#76
Data Engineering & DataOps Jobs
@dataeng_jobs · 2,404
#77
Чартомойка
@chartomojka · 14,845
#78
novichkov.net
@novichkovnet · 3,383
#79
Продакт аналитикс
@productanalyticsfordummies · 9,455
#80
Диаграммы и презентации
@kirsha_vis · 7,963
#81
Agentic Engineer
@data_engi · 675
#82
Банкста
@banksta · 438,371
#83
SQLpedia | Базы данных
@sql_wiki · 5,958
#84
Data Analytics Jobs | Вакансии
@data_hr · 10,981
#85
ML for Value / Ваня Максимов
@ml4value · 5,695
#86
Сделай это красиво
@perfectgraphs · 5,210
#87
Reliable ML
@reliable_ml · 6,603
#88
Designing Numbers
@designing_numbers · 5,188
#89
Клуб анонимных аналитиков
@analyst_club · 33,554
#90
✨swiftness
@swiftlady · 303
#91
Data Memes
@surfalytics · 516
#92
Дудь
@yurydud · 862,341
#93

Read from Telegram’s recommendation API, most recently 17 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

LEFT JOIN
@leftjoin · 42,064
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 29 August 2026
Reveal the Data
@revealthedata · 27,806
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 10 September 2026
karpov.courses
@KarpovCourses · 27,446
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 10 September 2026
Job for Analysts & Data Scientists
@foranalysts · 36,643
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 1 September 2026
Data Science. SQL hub
@sqlhub · 35,960
Telegram ranks this channel #14 of 87 here — alongside 86 others — read 2 September 2026
Время Валеры
@cryptovalerii · 30,808
Telegram ranks this channel #16 of 94 here — alongside 93 others — read 6 September 2026
Noukash
@noukashblog · 21,622
Telegram ranks this channel #20 of 95 here — alongside 94 others — read 23 September 2026
Data Science Jobs
@datasciencejobs · 22,137
Telegram ranks this channel #25 of 93 here — alongside 92 others — read 21 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,959
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 10 September 2026
Connectable Jobs
@zarubezhom_jobs · 103,632
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 15 August 2026
Excel Everyday
@excel_everyday · 52,367
Telegram ranks this channel #32 of 97 here — alongside 96 others — read 24 August 2026
Yandex Cloud
@yandexcloudnews · 21,888
Telegram ranks this channel #40 of 97 here — alongside 96 others — read 22 September 2026
Data Engineering Zoomcamp
@dezoomcamp · 30,327
Telegram ranks this channel #43 of 69 here — alongside 68 others — read 15 September 2026
Data Science
@datascienceiot · 42,634
Telegram ranks this channel #43 of 76 here — alongside 75 others — read 29 August 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
Telegram ranks this channel #43 of 93 here — alongside 92 others — read 25 August 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,002
Telegram ranks this channel #44 of 82 here — alongside 81 others — read 7 September 2026
Python вопросы с собеседований
@python_job_interview · 24,881
Telegram ranks this channel #45 of 90 here — alongside 89 others — read 15 September 2026
Секреты аналитики | Data Science, BI, Tableau
@analytics_secrets · 46,900
Telegram ranks this channel #46 of 85 here — alongside 84 others — read 27 August 2026
Системный и Бизнес-анализ
@ba_sa_analytics · 51,700
Telegram ranks this channel #50 of 90 here — alongside 89 others — read 24 August 2026
настенька и графики
@nastengraph · 28,213
Telegram ranks this channel #51 of 94 here — alongside 93 others — read 9 September 2026
Data Science Jobs
@datascienceml_jobs · 21,227
Telegram ranks this channel #54 of 97 here — alongside 96 others — read 24 September 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #60 of 93 here — alongside 92 others — read 25 August 2026
Stepik – онлайн-курсы
@stepik_courses · 24,454
Telegram ranks this channel #62 of 93 here — alongside 92 others — read 16 September 2026
Клуб анонимных аналитиков
@analyst_club · 33,554
Telegram ranks this channel #64 of 96 here — alongside 95 others — read 4 September 2026

This channel appears in 31 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Инжиниринг Данных” (@rockyourdata), 23,732 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/rockyourdata.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.