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Channel

karpov.courses

@KarpovCourses

Verified by Telegram

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

27,430subscribers

-113 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-1001430200876
TypeChannel
Username@KarpovCourses
DescriptionШкола науки о данных для любого уровня подготовки. Учим актуальным навыкам с акцентом на практику Программы: https://to.karpov.courses/Vy4YuQ Чат для общения: @karpovcourseschat Регистрация в РКН: https://gosuslugi.ru/snet/67b592291bca1d7fe17570a8
Created19 June 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/KarpovCourses

Topic

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

27,43027,54327,486.56 August 2026 — 27,543 subscribers7 August 2026 — 27,543 subscribers8 August 2026 — 27,535 subscribers9 August 2026 — 27,534 subscribers10 August 2026 — 27,530 subscribers11 August 2026 — 27,525 subscribers12 August 2026 — 27,531 subscribers13 August 2026 — 27,528 subscribers14 August 2026 — 27,527 subscribers16 August 2026 — 27,519 subscribers17 August 2026 — 27,508 subscribers18 August 2026 — 27,507 subscribers19 August 2026 — 27,504 subscribers20 August 2026 — 27,501 subscribers21 August 2026 — 27,511 subscribers22 August 2026 — 27,512 subscribers24 August 2026 — 27,509 subscribers25 August 2026 — 27,506 subscribers27 August 2026 — 27,507 subscribers28 August 2026 — 27,509 subscribers29 August 2026 — 27,498 subscribers30 August 2026 — 27,481 subscribers31 August 2026 — 27,479 subscribers1 September 2026 — 27,469 subscribers2 September 2026 — 27,462 subscribers4 September 2026 — 27,467 subscribers6 September 2026 — 27,454 subscribers9 September 2026 — 27,462 subscribers12 September 2026 — 27,456 subscribers13 September 2026 — 27,444 subscribers15 September 2026 — 27,435 subscribers17 September 2026 — 27,430 subscribers6 August 202617 September 2026
32 measurements spanning 42 days, net -113. 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 27,413–27,560 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 05:5927,430-5
15 Sept 2026, 09:0027,435-9
13 Sept 2026, 20:2227,444-12
12 Sept 2026, 04:3927,456-6
9 Sept 2026, 23:1627,462+8
6 Sept 2026, 18:1727,454-13
4 Sept 2026, 04:3827,467+5
2 Sept 2026, 18:5927,462-7
1 Sept 2026, 18:1727,469-10
31 Aug 2026, 20:0427,479-2
30 Aug 2026, 16:3827,481-17
29 Aug 2026, 14:1327,498-11
28 Aug 2026, 12:4727,509+2
27 Aug 2026, 13:2427,507+1
25 Aug 2026, 13:4927,506-3
24 Aug 2026, 12:5327,509-3
22 Aug 2026, 20:0227,512+1
21 Aug 2026, 12:1627,511+10
20 Aug 2026, 13:2327,501-3
19 Aug 2026, 12:4427,504first reading

Engagement

56 posts held, back to 30 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.65%
avg views ÷ 27,430 subscribers
Avg views / post
2,100
27 posts measured
Reaction rate
0.36%
reactions ÷ views · ER floor
Posts in window
27
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 25 of 27 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 19 September 2026
Posts held56 (30 July 202619 September 2026)
Views total56,653
Reactions total194
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Sept 2026, 20:11 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
2,370
Videos
17
Links
1,470

Lifetime counters from Telegram’s own channel header, read 19 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
3m 23s
Average length
1m 42s

Measured directly from 2 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

495 reactions across 51 posts, in 9 distinct kinds. The most used accounts for 29.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14429.1%
😁14028.3%
custom 544540352637099293711523.2%
🔥459.09%
custom 5445061088628486272387.68%
👍91.82%
😢20.404%
🎉10.202%
😱10.202%

Custom emoji. 2 of the rows above are 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 counts beside them are 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 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 495 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 19 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.

Recent posts

19 Sept 2026, 15:02 UTC763 views3 reactionsread 19 September 2026
Photo

Представьте: на календаре середина ноября, а вы умеете выстраивать полный цикл аналитических процессов ✔️ Работать с ClickHouse через Redash ✔️ Создавать продуктовые дашборды в Superset ✔️ Организовывать ETL-процессы при помощи Airflow ✔️ Писать систему алертов для приложения, чтобы отслеживать резкие изменения в продуктовых метриках ✔️ Анализировать A/B-тесты с помощью классических и специализированных статистическ

custom 54454035263709929372👍1

18 Sept 2026, 15:39 UTC≈1,090 viewsread 19 September 2026
Forwarded from @magnittechPhoto

🎙 Новый выпуск «По ту сторону» – про машинное обучение в ритейле! Еще несколько лет назад бизнес смотрел на машинное обучение как на черный ящик – далеко не все были готовы довериться модели. А уже сегодня ML управляет ценами, ассортиментом и полками тысяч магазинов и влияет на каждого. Разберемся, что случилось за это время, как ИИ уже меняет работу с данными и что требуется от ML-инженера сегодня – вместе с нашими

18 Sept 2026, 15:15 UTC≈1,260 views2 reactionsread 19 September 2026
Photo

Экспресс-урок по финансовой грамотности Так не делаем: идти домой пешком, чтобы потом заказать сет премиальных роллов. А так — да: взять комбо курсов со скидкой до 69 000 рублей. 📌 В карточках рассказали о шести комбинациях курсов, но их сильно больше. Поможем выбрать вариант, исходя из ваших карьерных целей. Пишите менеджеру @salesteam_kc

2

18 Sept 2026, 10:30 UTC≈1,490 views4 reactionsread 19 September 2026
Photo

Что делать, если работать аналитиком хочется, а заниматься программированием — нет? Стать системным аналитиком Достаточно разбираться в технологиях и уметь разговаривать с бизнесом на языке информационных технологий. Именно этому вы научитесь на курсе «Системный аналитик». ✅ Подробнее о нём читайте в карточках и оставляйте заявку на обучение на сайте

custom 54454035263709929373👍1

17 Sept 2026, 15:04 UTC≈1,780 views2 reactionsread 19 September 2026
Photo

Есть вопросы о программе по машинному обучению от karpovꓸcourses x AI Talent Hub ИТМО? Делимся свежим отзывом в карточках и напоминаем: следующий поток стартует уже 8 октября, и у вас еще есть время присоединиться к нему. Совместная программа karpovꓸcourses и AI Talent Hub ИТМО «Машинное обучение: от технической базы до создания ИИ-продукта» — это возможность: ✔️ учиться у лучших преподавателей karpovꓸcourses и ИТ

2

17 Sept 2026, 12:12 UTC≈1,860 views1 reactionsread 19 September 2026
Photo

Вам продвинутую аналитику данных или с нуля — для начинающих? 17 сентября стартуют сразу два потока, посвященных аналитике данных. ↖️ Курс «Аналитик данных» — возможность получить востребованную ИТ-профессию, освоить все актуальные навыки, нужные рынку, и зарабатывать от 80 000 рублей уже на старте. ↖️ Курс «Продвинутая аналитика данных» — программа для аналитиков, которые хотят повысить уровень: освоить работу с

1

16 Sept 2026, 15:33 UTC≈2,240 views4 reactionsread 19 September 2026

Posted without readable text

🔥2custom 54454035263709929372

15 Sept 2026, 16:27 UTC≈2,470 views5 reactionsread 19 September 2026
Photo

От запросов в ChatGPT до работающего MVP на собственном домене С сегодняшнего дня на курсе «Проектирование и запуск ИИ-продукта» будем осваивать современные методы разработки и за 10 недель превращаться из простого пользователя нейросетей в создателя цифровых продуктов. Поможет в этом Ярослав Шуваев — генеральный директор Panteoꓸai, преподаватель karpovꓸcourses и МВА в РАНХиГС, эксперт с опытом топ-менеджмента в Ал

custom 54454035263709929375

15 Sept 2026, 10:45 UTC≈2,430 views14 reactionsread 19 September 2026
Photo

Пока Apple объединяет два экрана, мы объединяем два курса 😉 Напоминаем, что до конца сентября действует акция на наши комбо курсов — скидка до 69.000₽. Узнать подробности или выбрать комбо 👉🏻 @salesteam_kc

😁7custom 54454035263709929374🔥3

14 Sept 2026, 15:46 UTC≈2,630 views7 reactionsread 19 September 2026
Photo

Что делать, если услышали «Давайте внедрим ИИ»? Перевести лозунг в проверяемую гипотезу: выбрать процесс, определить его уровень автономности и сделать шаг на одну ступень вверх. Объясняем, как это сделать, в карточках. Разбираем все этапы на практике на курсе «ИИ-автоматизация: проектирование и запуск агентных систем». Это наша совместная программа с ИТМО для тех, кто хочет: ✔️ Делегировать рутинные действия. ✔️ А

3🔥2custom 54454035263709929372

3 Sept 2026, 15:28 UTC≈1,450 views2 reactionsread 4 September 2026
Photo

Прыгайте в последний вагон! 27 августа стартовали два курса с фокусом на практике — присоединиться к ним можно и сейчас ✅ ↖️ «Принятие решений на основе данных и ИИ» За 7 недель разберётесь, как использовать генеративный ИИ для принятия решений — от ИИ-ассистентов до автономных агентов. ↖️ «Симулятор А/В-тестов» За 3 месяца освоите полный цикл А/В-тестирования: от постановки гипотезы до анализа результатов. В проц

custom 54454035263709929372

3 Sept 2026, 09:35 UTC≈1,860 views35 reactionsread 4 September 2026
Photo

Мы ни на что не намекаем, но ссылку оставим

😁26custom 54454035263709929375🔥2😢1😱1

Showing the 12 most recent of 56 posts we hold for @KarpovCourses. 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

Republished by

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

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 4 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Время Валеры
@cryptovalerii · 30,829
#1
No Data No Growth | Pavel Bukhtik
@nodatanogrowth · 12,773
#2
Глеб Михайлов
@mikhaylovgleb · 14,160
#3
Сиолошная
@seeallochnaya · 79,594
#4
Reveal the Data
@revealthedata · 27,839
#5
Инжиниринг Данных
@rockyourdata · 23,767
#6
LEFT JOIN
@leftjoin · 42,064
#7
Нескучный Data Science
@not_boring_ds · 12,052
#8
Data Secrets
@data_secrets · 93,800
#9
Start Career in DS
@start_ds · 11,501
#10
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,805
#11
Тагир Анализирует
@tagir_analyzes · 11,702
#12
Борзило
@y_borzilo · 5,593
#13
Продакт аналитикс
@productanalyticsfordummies · 9,455
#14
🏆 AIeron | Data Feeling
@datafeeling · 14,291
#15
Аналитика и growth mind-set
@analyticsgrowthmindset · 17,601
#16
Заскуль питона (Аналитика данных)
@zasql_python · 8,932
#17
Datalytics
@datalytx · 8,780
#18
Борис опять
@boris_again · 17,596
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Yandex for ML
@yandexforml · 18,854
#20
Kantor.AI
@kantor_ai · 12,217
#21
Machinelearning
@ai_machinelearning_big_data · 280,660
#22
Аналитика данных / Data Study
@data_study · 9,454
#23
РИСЕРЧОШНАЯ
@researchoshnaya · 2,457
#24
ANDRON ALEXANYAN
@andron_233 · 6,252
#25
DeepSchool
@deep_school · 10,747
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@data_csv · 13,840
#27
MLinside - школа ML
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Avito Data Tech
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Denis Sexy IT 🤖
@denissexy · 137,325
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Data Coffee
@datacoffee · 2,631
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Мир аналитика данных
@analysts_world · 4,547
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Data Secrets | Карьера
@data_secrets_career · 7,190
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This is Data
@thisisdata · 6,205
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Аналитик сюра
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LEFT JOIN Insider
@leftjoin_insider · 1,440
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PyMagic
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Симулейтив
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Data Nature 🕊
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Лаборатория данных
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@chad_protocol · 11,384
#60
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#61
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@data_hr · 10,981
#62
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Коля Валиотти • Дата консалтинг
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Клуб анонимных аналитиков
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#71
настенька и графики
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ODS #jobs
@odsjobs · 14,059
#73
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Крис про аналитику🧠🦾
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@zarubezhom_jobs · 102,984
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Дудь
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@chartomojka · 14,867
#93
Канал Алексея Куличевского
@kulichevskiy · 3,432
#94
Не AБы какие тесты
@abba_testing · 1,807
#95
Медуза — LIVE
@meduzalive · 1,121,201
#96

Read from Telegram’s recommendation API, most recently 10 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.

Reveal the Data
@revealthedata · 27,839
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 10 September 2026
Клуб анонимных аналитиков
@analyst_club · 33,554
Telegram ranks this channel #13 of 96 here — alongside 95 others — read 4 September 2026
LEFT JOIN
@leftjoin · 42,064
Telegram ranks this channel #20 of 95 here — alongside 94 others — read 29 August 2026
Инжиниринг Данных
@rockyourdata · 23,767
Telegram ranks this channel #24 of 93 here — alongside 92 others — read 17 September 2026
Время Валеры
@cryptovalerii · 30,829
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 6 September 2026
Job for Analysts & Data Scientists
@foranalysts · 36,643
Telegram ranks this channel #40 of 96 here — alongside 95 others — read 1 September 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 25 August 2026
Яндекс Практикум
@yndx_practicum · 34,046
Telegram ranks this channel #48 of 97 here — alongside 96 others — read 3 September 2026
Data Science. SQL hub
@sqlhub · 35,969
Telegram ranks this channel #56 of 87 here — alongside 86 others — read 2 September 2026
Stepik – онлайн-курсы
@stepik_courses · 24,445
Telegram ranks this channel #57 of 93 here — alongside 92 others — read 16 September 2026
настенька и графики
@nastengraph · 28,213
Telegram ranks this channel #59 of 94 here — alongside 93 others — read 9 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,631
Telegram ranks this channel #69 of 93 here — alongside 92 others — read 25 August 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #80 of 98 here — alongside 97 others — read 7 September 2026

This channel appears in 13 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“karpov.courses” (@KarpovCourses), 27,430 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/KarpovCourses.

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.