Канал 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
Created
Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — 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 100% 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
29 measurements spanning 50 days, net +25. 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 24,401–24,461 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
25 Sept 2026, 11:56
24,454
+9
18 Sept 2026, 21:17
24,445
+14
14 Sept 2026, 16:00
24,431
+2
13 Sept 2026, 04:39
24,429
-6
11 Sept 2026, 08:40
24,435
-11
8 Sept 2026, 16:40
24,446
+11
5 Sept 2026, 11:18
24,435
+7
2 Sept 2026, 01:27
24,428
-1
31 Aug 2026, 22:28
24,429
+2
30 Aug 2026, 20:45
24,427
+4
29 Aug 2026, 19:02
24,423
-5
28 Aug 2026, 19:44
24,428
-9
26 Aug 2026, 18:02
24,437
-7
25 Aug 2026, 15:17
24,444
-1
24 Aug 2026, 18:49
24,445
+6
23 Aug 2026, 05:47
24,439
+6
21 Aug 2026, 20:59
24,433
+4
20 Aug 2026, 13:37
24,429
+3
19 Aug 2026, 13:14
24,426
+14
18 Aug 2026, 12:08
24,412
first reading
Engagement
50 posts held, back to 17 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.0%
avg views ÷ 24,454 subscribers
Avg views / post
2,690
14 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
15
of 50 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
Window
Rolling 30 days · latest post in window 25 September 2026
Posts held
50 (17 July 2026 – 25 September 2026)
Views total
37,618
Reactions total
405
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 06:06 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
240
Videos
13
Links
532
Lifetime counters from Telegram’s own channel header, read 29 September 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
1,224 reactions across 47 posts, in 23 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
370
30.2%
👍
249
20.3%
🔥
173
14.1%
❤🔥
158
12.9%
😈
81
6.62%
🥰
27
2.21%
😁
26
2.12%
🤝
23
1.88%
👏
17
1.39%
✍
16
1.31%
🤩
13
1.06%
👎
12
0.98%
🆒
10
0.817%
🎉
10
0.817%
🐳
8
0.654%
👀
8
0.654%
custom 5197602759708269133
7
0.572%
👻
5
0.408%
👌
3
0.245%
💯
3
0.245%
3 further kinds
5
0.408%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 47 of the 50 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 1,224 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 17 July 2026 to 25 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.
Хочу на Stepicon, но я не в Москве…
Не проблема!
Если не получится приехать лично, присоединяйтесь к Stepicon онлайн – делимся ссылками на трансляции:
▪️2 октября – старт в 10:30
YouTube
VK Видео
▪️3 октября – старт в 11:00
YouTube
VK Видео
Заглядывайте в программу, выбирайте доклады, которые не хочется пропустить, и добавляйте их в календарь 📅
Мы обязательно напомним о трансляции в дни конференции!
Собрали новые курсы этой недели↘️
⚡️ Разработка и программирование
— Matplotlib в Python: основы и продвинутые приёмы (Бесплатный)
Освоите базовые и продвинутые приёмы построения графиков и наглядных визуализаций.
— Стохастическая математика для финансов: от Ито до Блэка-Шоулза
Выведете формулу Блэка-Шоулза от подбрасывания монеты до собственного Монте-Карло-прайсера, а также разберётесь с леммой Ито и СДУ на Py…
Как пользоваться ИИ эффективнее? Обсудим 1 октября с авторами Stepik на бесплатном митапе в Школе 21!
Что в программе? ↘️
▪️19:00 - 19:30: Ксения Пылькина (автор курса “Лучший по Python”) – Визуал с AI: сложные кейсы и почему всё решает своя идея
Разберём на кейсах, как получить от нейросети ту картинку, которую задумал, а не ту, которую она хочет нарисовать: много людей в одном кадре, узнаваемые лица, текст на ру…
Свежая подборка курсов! Если прогноз погоды на выходные не радует, выбирайте что-нибудь интересное для изучения и устраивайтесь поуютнее дома 💚
👍 Разработка и программирование
— SQL в MySQL: полная программа. База и оконные функции
Решите 395 интерактивных задач – от первого SELECT до оконных функций и топ-N по группам.
— Python-бэкенд в проде: профайлеры, наблюдаемость и дежурство
Разберётесь, как Python-сервис…
UPD: Работа сайта восстановлена, напишите в комментариях, остались ли у вас сложности с доступом
Видим сообщения от вас по поводу проблем с открытием сайта Stepik
К сожалению, мы столкнулись с техническими сбоями и сейчас разбираемся с ними. Мы сообщим в канале, как только решим проблему!
Спасибо за понимание ❤️
⚡️ Запись вебинара «Как работают и принимают решения ИИ-агенты?»
Спасибо всем, кто присоединился вчера на вебинар с Сабриной Садиех 💚
Делимся записью на удобых платформах и полезными материалами:
Youtube
VK Video
Rutube
Дзен
Материалы
Также заглядывайте в телеграм-канал Сабрины, где она делится опытом в исследовании интерпретируемости AI: https://t.me/jdata_blog
До встречи на следующих вебинарах!
Раскрываем спикеров Stepicon’26!
Уже через 2 недели, 2–3 октября, встречаемся в Москве на нашей ежегодной конференции для авторов курсов, преподавателей и всех, кто развивает онлайн-образование.
На конференции вас ждут 25+ лекций и воркшопов от лидеров рынка образования и корпоративного обучения — Центрального университета, ВШЭ, Хабра, Stepik, Самоката, Cloud.ru и других. А ещё – дискуссии, где можно будет обменять…
⚡️ Уже сегодня в 18:00 – бесплатный вебинар про AI-агентов!
Вебинар проведёт Сабрина Садиех, Researcher в области Explainable AI и R&D Lead в HiveTrace, сооснователь школы по интерпретируемости и автор курсов по XAI на Stepik.
На вебинаре обсудим:
▪️что такое AI-агенты и почему существует так много разных определений
▪️где агенты действительно полезны, а где достаточно обычного пайплайна
▪️почему бывает сложно пон…
Кое-что важное, что вы могли пропустить в эти выходные...
13 сентября отмечается день программиста!
Поздравляем всех, кто пишет код, разбирается с багами и каждый день превращает идеи в работающие алгоритмы 💻
В честь праздника собрали 8 статей от нашей команды и авторов курсов о программировании и смежных направлениях в IT:
▪️Какой язык программирования выбрать для обучения на позицию тестировщика-автоматизатора …
10 курсов, чтобы не тратить полдня на то, что можно сделать за 20 минут ⏰
Не только тайм-менеджмент помогает эффективнее использовать рабочее время. Освоение новых инструментов, автоматизация повторяющихся действий и устранение лишних операций в рабочих процессах помогают сократить объём ручной работы и быстрее справляться с повседневными делами.
В результате больше времени и внимания остаётся на решения, идеи и ра…
Продолжаем выбирать, чему учиться этой осенью!
Во второй части дайджеста — курсы для тех, кто хочет попробовать себя в дизайне и digital, разобраться с финансами, подтянуть английский или просто найти время для себя 💚
⚡️ Новые digital- и творческие навыки
— Основы Vibe Coding
Создадите сайт, прототип или сервис с помощью нейросетей — от первой идеи до готового проекта и публикации.
— Профессия «Дизайнер интерфей…
Showing the 12 most recent of 50 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.
Posts edited after publishing
@stepik_courses 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
25 August 2026
Most recent edit
25 August 2026
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.
Какие направления курсов актуальны для вас сейчас?
Аналитика34%
Разработка46%
Тестирование17%
Базы данных35%
Искусственный интеллект49%
Дизайн11%
Иностранные языки23%
Математика24%
Естественные науки9%
Другое (поделюсь в комментариях)6%
The shares total 254%, 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 50 most recent posts we hold, published 17 July 2026 to 25 September 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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Read from Telegram’s recommendation API, most recently 16 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.
Поколение Python 🐍 @pygen_ru · 50,279 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 25 August 2026
GeekBrains @geekbrains_ru · 24,719 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 15 September 2026
КЛУБ | ENGLISH GALAXY | АНГЛИЙСКИЙ ЯЗЫК ПО ПЛЕЙЛИСТАМ @englishgalaxy_school · 76,835 Telegram ranks this channel #68 of 83 here — alongside 82 others — read 19 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. 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.
“Stepik – онлайн-курсы” (@stepik_courses), 24,454 subscribers as measured 25 September 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.