Сервис онлайн-образования
Помогаем людям расти
Выбрать курс и пройти бесплатную вводную часть: https://ya.cc/t/uzWvKXm679f6DR
Обратиться в поддержку: @PracticumSupportBot
Правила чата: https://clck.ru/3TTvPB
Номер заявления в РКН — 4970768733
Created
Between 1 December 2021 and 30 April 2023 — 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 9 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
35 measurements spanning 51 days, net -331. 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 33,929–34,360 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 20:59
33,979
-67
19 Sept 2026, 17:20
34,046
-21
17 Sept 2026, 03:20
34,067
-11
15 Sept 2026, 06:39
34,078
-13
13 Sept 2026, 18:15
34,091
-11
12 Sept 2026, 00:40
34,102
-9
9 Sept 2026, 19:37
34,111
-2
6 Sept 2026, 15:40
34,113
-14
4 Sept 2026, 06:56
34,127
-6
2 Sept 2026, 20:14
34,133
-6
1 Sept 2026, 19:38
34,139
-4
31 Aug 2026, 21:48
34,143
-2
31 Aug 2026, 01:04
34,145
-1
29 Aug 2026, 23:37
34,146
+2
29 Aug 2026, 00:17
34,144
-5
28 Aug 2026, 01:25
34,149
+2
27 Aug 2026, 01:12
34,147
-14
26 Aug 2026, 00:26
34,161
-12
25 Aug 2026, 01:45
34,173
-17
23 Aug 2026, 13:18
34,190
first reading
Engagement
56 posts held, back to 30 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 91 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.98%
avg views ÷ 33,979 subscribers
Avg views / post
2,030
24 posts measured
Reaction rate
0.614%
reactions ÷ views · ER floor
Posts in window
24
of 56 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 24 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 September 2026
Posts held
56 (30 July 2026 – 28 September 2026)
Views total
48,790
Reactions total
285
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 07:04 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
≈6,880
Videos
≈76
Links
≈1,310
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. 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
29s
Average length
7s
Measured directly from 4 videos 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
879 reactions across 54 posts, in 13 distinct kinds. The most used accounts for 38.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
336
38.2%
🔥
208
23.7%
😁
124
14.1%
🥰
51
5.80%
✍
40
4.55%
👍
37
4.21%
🤔
20
2.28%
🎉
19
2.16%
😢
13
1.48%
🤯
12
1.37%
👨💻
9
1.02%
👏
5
0.569%
😱
5
0.569%
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 54 of the 56 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 879 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 30 July 2026 to 28 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.
Синоптики сообщают: октябрь будет богат на свежие старты потоков. Выбирайте, что хотите освоить, переходите по ссылкам и начинайте учиться бесплатно:
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Нейросети для начинающих — 5 октября
Нейросети для работы — 8, 22 октября
Нейросети для бизнеса — 8, 22 октября
Нейросети для дизайна — 8, 22 октября
Нейросети для маркетинга — 29 октября
Нейросети для руководителей — 5, 26 октябр…
Нейросети помогают дизайнерам на всех этапах — от идеи до готового макета. Но если не уметь формулировать промпты, результат превращается в лотерею. Рассказываем, как получить предсказуемый результат без десятка перегенераций.
Поговорили с Александром Кирилловым, старшим спикером курса «Дизайнер интерфейсов», и собрали главные правила составления промптов для дизайна в статье «Промпты для дизайна: как составлять зап…
Может ли ИИ заменить учёбу?
В новом выпуске программы «Репортаж на диване» Михаил Кострецов разбирается, как повсеместное использование нейросетей меняет образование, где ИИ помогает, а где мешает. А главное — реально ли чему-то научиться, когда часть работы делает за вас алгоритм.
Смотрите видео на YouTube и в ВК.
За каждой дверью — портал в сферу IT и диджитала, который приоткрывают эксперты из Яндекса и других крупных компаний. Они рассказывают, как подготовить себя и резюме к изменениям на рынке, что нужно знать и уметь уже сейчас новичкам и специалистам с опытом.
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🚪
Программирование
…
😀 120 мест в финале Yandex Cup 2026 — и одно из них может быть вашим
Мы открываем регистрацию на 9-й международный чемпионат по программированию. Это соревнование, в котором вы можете попробовать свои силы на реальных задачах и выиграть часть призового фонда. В этом году вас ждут:
→ Задания по трём направлениям: Машинное обучение, Аналитика и Алгоритм
→ 9 млн рублей и 36 призовых мест
→ Финал и награждение в Москве…
ИИ-навыки больше не делят людей на «технарей» и «гуманитариев». Теперь это обязательный навык во многих профессиях.
Чтобы идти в ногу с требованиями рынка, достаточно встроить ИИ в свою работу. Для этого мы добавили блоки по работе с нейросетями в курсы Практикума. В них разбираем, как использовать ИИ в конкретной специальности и какие задачи он помогает решить. До 30 сентября вы можете начать учиться бесплатно и со…
«Делу время, потехе час» — и вот вы немного застряли в прошлом, в руках — барсетка, а в кармане пейджер.. Это не плохо и даже забавно!
Но вот работать по-старому, когда вокруг уже вовсю используют ИИ, — не очень. Так что давайте договариваться: старомодные фразы оставляем, старомодные навыки — обновляем.
Какие выражения из прошлого живут в вашей речи?
Сентябрь — время, когда кто-то возвращается к учёбе, кто-то планирует смену профессии, а кто-то уже готовится к первым собеседованиям. Чтобы подготовиться к интервью было проще, собрали подборку реальных
вопросов от HR-ов:
🤯 Фронтенд-разработчик
🤯 Java
🤯 Python
🤯 Системный администратор
Скидка 16% на обучение в Практикуме — только до 30 сентября. Если давно присматриваетесь к новой профессии, сейчас тот момент, когда откладывать дальше уже не стоит.
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3. Получите скидку 16% на платную часть автоматически
А дальше — учитесь профессии сразу с ИИ-навыками, которые становятся новой базой на рынке труда. Переходите п…
Приглашаем на экскурсию по Практикуму изнутри. Эксперты и выпускники проведут вас по всем трекам и расскажут:
📝 Как выбрать IT- или диджитал-профессию, если вы не уверены, что может вам подойти
📝 Кто помогает студентам справиться с трудностями и как выглядит поддержка ревьюеров, наставников и карьерных консультантов
📝 Где искать проекты для портфолио, если вы начали с нуля
📝 Как проходит учёба у людей с разным опыто…
Young&&Yandex: станьте амбассадорами Яндекса в своём вузе
Мы открываем новый набор! Ищем тех, кто хочет делать что-то своё, объединять людей и создавать движ вокруг технологий.
Вы познакомитесь с Яндексом изнутри — его командами, экспертами и продуктами. А дальше сами решите, как рассказывать о компании в своём вузе: придумывать мероприятия, собирать вокруг себя единомышленников, позвать спикера или запустить формат…
Showing the 12 most recent of 56 posts we hold for @yndx_practicum. 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.
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 6 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.
Яндекс Практикум. Программирование и анализ данных @practicumtech · 11,202#1
Read from Telegram’s recommendation API, most recently 3 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.
Практикум про диджитал-профессии @mrkt_practicum · 25,124 Telegram ranks this channel #1 of 98 here — alongside 97 others — read 14 September 2026
+1 в команду Яндекс Практикума @practicum_experts · 24,099 Telegram ranks this channel #4 of 98 here — alongside 97 others — read 16 September 2026
Нетология @netology_ru · 27,487 Telegram ranks this channel #5 of 96 here — alongside 95 others — read 10 September 2026
Skillbox: образовательная платформа @skillboxru · 36,669 Telegram ranks this channel #8 of 97 here — alongside 96 others — read 3 September 2026
Журнал «Код» @thecodemedia · 49,232 Telegram ranks this channel #8 of 97 here — alongside 96 others — read 25 August 2026
GeekBrains @geekbrains_ru · 24,719 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 15 September 2026
Stepik – онлайн-курсы @stepik_courses · 24,454 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 16 September 2026
Поколение Python 🐍 @pygen_ru · 50,279 Telegram ranks this channel #30 of 93 here — alongside 92 others — read 25 August 2026
hh.ru @hh_ru_official · 90,584 Telegram ranks this channel #35 of 83 here — alongside 82 others — read 10 September 2026
Яндекс Образование @Education_Yandex · 37,959 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 31 August 2026
Яндекс для предпринимателей @yandexbusiness · 78,837 Telegram ranks this channel #66 of 97 here — alongside 96 others — read 20 August 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Яндекс Практикум(ru.wikipedia.org) “…{{примечания}}
== Ссылки ==
* [https://practicum.yandex.ru/ Сайт сервиса]
* [https://t.me/yndx_practicum Канал в Telegram]
* [https://vc.ru/learn/87245-yandeks-pr…” read 13 September 2026
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Яндекс Практикум” (@yndx_practicum), 33,979 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/yndx_practicum.
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.