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Channel

Stepik – онлайн-курсы

@stepik_courses

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

24,408subscribers

-21 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-1001139133451
TypeChannel
Username@stepik_courses
DescriptionКанал образовательной платформы Stepik Сообщество в ВК https://vk.com/rustepik Каталог курсов https://clck.ru/34K2nD Конструктор курсов https://clck.ru/34K2pV Курсы для компаний https://clck.ru/34K2qN Регистрация канала в РКН: https://clck.ru/3PTkAw
CreatedBetween 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/stepik_courses

Growth

24,40824,43324,420.56 August 2026 — 24,429 subscribers6 August 2026 — 24,433 subscribers8 August 2026 — 24,431 subscribers10 August 2026 — 24,429 subscribers11 August 2026 — 24,424 subscribers12 August 2026 — 24,410 subscribers13 August 2026 — 24,408 subscribers6 August 202613 August 2026
7 measurements spanning 7 days, net -21. 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 24,404–24,437 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:4424,408-2
12 Aug 2026, 03:2124,410-14
11 Aug 2026, 02:4124,424-5
10 Aug 2026, 00:4124,429-2
8 Aug 2026, 00:4724,431-2
6 Aug 2026, 22:4324,433+4
6 Aug 2026, 02:3524,429first reading

Engagement

22 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.9%
avg views ÷ 24,408 subscribers
Avg views / post
3,400
20 posts measured
Reaction rate
0.729%
reactions ÷ views · ER floor
Posts in window
22
of 22 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held22 (17 July 202612 August 2026)
Views total68,020
Reactions total496
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 04:14 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
199
Videos
12
Links
507

Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
37s
Average length
37s

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

496 reactions across 21 posts, in 16 distinct kinds. The most used accounts for 28.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14028.2%
🔥12024.2%
👍10521.2%
😈265.24%
❤‍🔥244.84%
🥰204.03%
👏173.43%
🆒102.02%
🎉81.61%
👎71.41%
🐳51.01%
👀40.806%
👻40.806%
😁30.605%
💋20.403%
😎10.202%

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 21 of the 22 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 496reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 17 July 2026 to 12 August 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.

Recent posts

12 Aug 2026, 07:23 UTC≈1,560 views16 reactionsread 14 August 2026
Photo

Как собрать DevOps-лабораторию у себя дома? Изучать DevOps только по документации сложно. Можно знать команды и разбираться в теории, но настоящее понимание процессов приходит, когда что-то перестаёт работать и причину приходится искать самому. В новой статье Юрий Анфиногенов — специалист с многолетним опытом работы с серверами, автоматизации процессов и решения технических проблем — рассказывает, как создать собст

👍141😈1

11 Aug 2026, 08:18 UTC≈1,920 views28 reactionsread 14 August 2026
Photo

Новый руководитель: инструкция по применению О первой руководящей роли обычно думают как о новом этапе в карьере. Но довольно быстро появляются задачи, к которым сложно подготовиться заранее: ▪️разрешать конфликты между коллегами ▪️готовиться к сложным разговорам ▪️аргументировать решения, которое понравится не всем ▪️проводить встречи, где нужно найти компромисс Собрали курсы, которые помогут увереннее справлятьс

11🔥10🥰3😈3👻1

10 Aug 2026, 06:53 UTC≈2,260 views12 reactionsread 14 August 2026
Poll

Какие направления курсов актуальны для вас сейчас?

  1. Аналитика33%
  2. Разработка46%
  3. Тестирование18%
  4. Базы данных36%
  5. Искусственный интеллект50%
  6. Дизайн11%
  7. Иностранные языки23%
  8. Математика23%
  9. Естественные науки9%
  10. Другое (поделюсь в комментариях)7%

The shares total 256%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

❤‍🔥5🐳4👻2👍1

10 Aug 2026, 06:53 UTC≈1,950 views15 reactionsread 14 August 2026
Photo

Принесли свежую подборку курсов под ваш утренний кофе ↘️ ⚡️ Аналитика и работа с данными — Настройка локальной LLM для малого и среднего бизнеса Как развернуть локальную LLM без ML-команды: от установки Ollama до оценки окупаемости и юридических рисков. Разберетесь, как использовать локальный AI в бизнесе и при этом учитывать требования законодательства. — Основы Elastic Stack: Elasticsearch, Kibana и Logstash П

9👍4😈2

7 Aug 2026, 07:56 UTC≈2,670 views24 reactionsread 14 August 2026
Photo

Вы преподаватель, автор курсов или только задумываетесь начать? Тогда мы ждем вас на Stepicon’26 – ежегодная конференция Stepik для авторов курсов, преподавателей и всех, кто развивает онлайн-образование 💚 Конференция пройдёт 2–3 октября в Москве — два дня, чтобы познакомиться и обменяться опытом с другими авторами, вдохновиться на новые идеи для своих курсов и узнать о новых полезных обновлениях платформы! Что ва

🔥87🥰5❤‍🔥3😈1

6 Aug 2026, 11:15 UTC≈3,070 views27 reactionsread 14 August 2026

⚡️ Делимся записью вчерашнего вебинара с Ринатом Минязевым и полезными материалами Спасибо всем, кто присоединился! А для тех, кто не успел посмотреть трансляцию онлайн — делимся ссылками на запись на удобных платформах ↘️ YouTube VK Дзен Rutube И еще несколько полезностей! ➡️ Дополнительные материалы к вебинару: https://drive.google.com/drive/folders/1YvkPHgnA82Ju01Kui6ZlvhzgzIGOY5Yo?usp=sharing ➡️ Промокод WEB

🔥155🥰3👍2💋1😈1

5 Aug 2026, 09:16 UTC≈3,310 views30 reactionsread 14 August 2026
Photo

Давно хотели автоматизировать рутинные задачи с помощью нейросети? Уже сегодня в 18:00 ждём вас на бесплатном вебинаре «Своя локальная нейросеть против DeepSeek: сравнение на офисных задачах» ⚡️ На практике разберём, как локальная модель и DeepSeek справляются с PDF, Word и Excel, и выясним, где локальный ИИ может конкурировать с облачным, а где пока уступает. А ещё покажем, как научить нейросеть не просто отвечат

13🔥9👍3🥰2😈2💋1

4 Aug 2026, 13:39 UTC≈3,300 views41 reactionsread 14 August 2026
Photo

Рубрика «Автор месяца» 🥇 Пора знакомиться с новым победителем – автором, чьи курсы особенно понравились студентам Stepik в июле 🎉 Встречайте – Илья Лушкевич, DevOps-инженер с более чем пятилетним опытом работы в крупных компаниях и зарубежных стартапах и автор курсов по CI/CD, Kubernetes, GitOps, мониторингу и другим инструментам автоматизации. В IT Илья пришёл через самостоятельное обучение и собственные ошибки.

👏16❤‍🔥10🔥6👍3😈2🆒21👎1

3 Aug 2026, 15:04 UTC≈3,280 views34 reactionsread 14 August 2026
Photo

🎉 Подводим итоги конкурса! Мы получили столько интересных историй о том, как вы используете AI в работе, учёбе и повседневной жизни, что выбрать победителей оказалось совсем непросто... Вместе с авторами курсов мы выбрали три основных победителя: 🥇@AthenaOwl — дарим курс «LangChain: создание ИИ агентов для бизнеса на Python» от Никиты Шультайса 🥇@bas_sya — дарим курс «Нейросети против рутины» от Ольги и Дениса К

🔥186🥰5👍3😈1😎1

3 Aug 2026, 09:11 UTC≈2,610 views28 reactionsread 14 August 2026
Photo

От AI-агентов до итальянского – собрали самые интересные новинки в нашем дайджесте курсов 🏆 ⚡️ Разработка и программирование — ООП Python: Часть 3 Практический курс для Python-разработчиков, которые хотят выйти за рамки базового ООП. Вы изучите принципы SOLID и паттерны проектирования, а также научитесь писать чистый код, который используют в реальных проектах. — Django Великолепный: для начинающих (Бесплатный)

🔥136👍5🥰2😈2

1 Aug 2026, 08:17 UTC≈3,200 views22 reactionsread 14 August 2026
Photo

Распродажа закончилась, а интерес к ИИ нет 🐶 Если вы только начинаете разбираться в теме или хотите следить за тем, как развивается искусственный интеллект, это можно делать бесплатно. Рекомендуем подкаст наших коллег с факультета компьютерных наук НИУ ВШЭ «Открытый разговор про искусственный интеллект» в формате живой дискуссии с трансляцией на YouTube и в VK Видео. Следующая встреча посвящена вопросу, который во

11👍6🔥4😈1

31 Jul 2026, 09:15 UTC≈3,520 views18 reactionsread 14 August 2026
Video

Согласно исследованию McKinsey, ИИ ускоряет работу сотрудника минимум на 30%. Пока вы вручную пишете тексты, верстаете презентации или собираете отчеты, ваши конкуренты делают это за несколько минут c помощью несложных действий. Они не умнее вас — они просто делегировали рутину нейросетям. Кроме экономии времени на базовых задачах ИИ также открывает для вас другие возможности: 📚 Работа с кодом без знания языков пр

11👍3👎2🎉1😈1

Showing the 12 most recent of 22 posts we hold for @stepik_courses. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

10 Aug 2026, 06:53 UTCAnonymous Poll510 voters

Какие направления курсов актуальны для вас сейчас?

  1. Аналитика33%
  2. Разработка46%
  3. Тестирование18%
  4. Базы данных36%
  5. Искусственный интеллект50%
  6. Дизайн11%
  7. Иностранные языки23%
  8. Математика23%
  9. Естественные науки9%
  10. Другое (поделюсь в комментариях)7%

The shares total 256%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 22 most recent posts we hold, published 17 July 2026 to 12 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 86,871 of 1,336,469entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 5 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Stepik – онлайн-курсы” (@stepik_courses), 24,408 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/stepik_courses.

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.