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Channel

Секреты аналитики | Data Science, BI, Tableau

@analytics_secrets

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

46,786subscribers

-249 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001155412393
TypeChannel
Username@analytics_secrets
DescriptionВсё об анализе данных простым языком. Сотрудничество: @max_excel РКН: vk.cc/cHiD2p
CreatedBetween 1 November 2018 and 31 July 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/analytics_secrets

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 82% 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

46,78647,24047,0136 August 2026 — 47,035 subscribers6 August 2026 — 47,035 subscribers6 August 2026 — 47,165 subscribers7 August 2026 — 47,240 subscribers8 August 2026 — 47,225 subscribers9 August 2026 — 47,211 subscribers10 August 2026 — 47,177 subscribers11 August 2026 — 47,163 subscribers12 August 2026 — 47,164 subscribers14 August 2026 — 47,146 subscribers15 August 2026 — 47,128 subscribers17 August 2026 — 47,107 subscribers18 August 2026 — 47,094 subscribers19 August 2026 — 47,081 subscribers20 August 2026 — 47,080 subscribers21 August 2026 — 47,063 subscribers22 August 2026 — 47,047 subscribers24 August 2026 — 47,034 subscribers25 August 2026 — 47,012 subscribers26 August 2026 — 46,988 subscribers27 August 2026 — 46,970 subscribers28 August 2026 — 46,967 subscribers29 August 2026 — 46,956 subscribers30 August 2026 — 46,947 subscribers31 August 2026 — 46,933 subscribers1 September 2026 — 46,913 subscribers2 September 2026 — 46,890 subscribers3 September 2026 — 46,871 subscribers6 September 2026 — 46,841 subscribers9 September 2026 — 47,114 subscribers12 September 2026 — 47,073 subscribers13 September 2026 — 47,047 subscribers15 September 2026 — 47,024 subscribers17 September 2026 — 47,005 subscribers26 September 2026 — 46,900 subscribers4 October 2026 — 46,786 subscribers6 August 20264 October 2026
36 measurements spanning 59 days, net -249. 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 46,718–47,308 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
4 Oct 2026, 13:1846,786-114
26 Sept 2026, 04:0146,900-105
17 Sept 2026, 11:1747,005-19
15 Sept 2026, 10:2047,024-23
13 Sept 2026, 18:1547,047-26
12 Sept 2026, 02:4147,073-41
9 Sept 2026, 16:3647,114+273
6 Sept 2026, 06:4146,841-30
3 Sept 2026, 22:4146,871-19
2 Sept 2026, 14:2946,890-23
1 Sept 2026, 11:4746,913-20
31 Aug 2026, 14:4846,933-14
30 Aug 2026, 14:0646,947-9
29 Aug 2026, 16:2746,956-11
28 Aug 2026, 13:3746,967-3
27 Aug 2026, 16:4246,970-18
26 Aug 2026, 13:5246,988-24
25 Aug 2026, 13:2747,012-22
24 Aug 2026, 11:0447,034-13
22 Aug 2026, 20:1547,047first reading

Engagement

124 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 131 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.24%
avg views ÷ 46,786 subscribers
Avg views / post
1,520
64 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
64
of 124 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 6 October 2026
Posts held124 (28 July 2026 – 6 October 2026)
Views total97,018
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 12:03 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
271
Videos
88
Links
400

Lifetime counters from Telegram’s own channel header, read 6 October 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
7h 51m
Average length
18m 09s

Measured directly from 26 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.

Advertising

Ad load
11.3%
14 of 124 posts carry an ad marker
Regulatory tokens
14
posts carrying an erid · 14 distinct tokens
Median views · ads
1,500
over 14 measured posts
Median views · rest
1,810
over 110 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzquYLoJi15 August 20265 August 2026
2Vtzqv6sRhv124 September 202624 September 2026
2Vtzqvk2BaC126 September 202626 September 2026
2Vtzqvqtgrw112 August 202612 August 2026
2Vtzqw6Y9St110 September 202610 September 2026
2VtzqxNtP64128 September 202628 September 2026
2W5zFG3ehmb115 August 202615 August 2026
2W5zFGKS2oB118 September 202618 September 2026
2W5zFGXEYZX118 August 202618 August 2026
2W5zFGne15b17 August 20267 August 2026
2W5zFHVnAzD124 August 202624 August 2026
2W5zFHVrYho13 September 20263 September 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. 2 further tokens are held for this entry and not listed here.

Measured over the 124 most recent posts we hold, published 28 July 2026 to 6 October 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

6 Oct 2026, 06:30 UTC593 viewsread 6 October 2026
Photo

Data Engineering: концепции, процессы и инструменты Фундамент для аналитических проектов закладывает специальная дисциплина — Data Engineering. В этой статье автор подробно рассмотрит процесс data engineering, расскажет о его базовых компонентах и инструментах, а также опишет роль дата-инженера. Секреты аналитики

5 Oct 2026, 17:50 UTC816 viewsread 6 October 2026
Photo

Как правильно лгать с помощью статистики Статистика, инфографика, big data, анализ данных и data science — этим сейчас кто только не занят. Все знают как правильно всем этим заниматься, осталось только кому-то написать как НЕ нужно этого делать. В данной статье автор именно этим и займется. Секреты аналитики

5 Oct 2026, 15:40 UTC732 viewsread 6 October 2026
Photo

Стать специалистом по Data Science всего за 10 недель — это реально! Если давно смотрите в сторону Data Science, но откладываете старт из-за огромного количества технологий, математики и непонятного пути до первой работы — сейчас можно зайти в профессию по-другому. Симулейтив запускает интенсивный буткемп по Data Science, который построен вокруг главного: за первые 10 недель собрать необходимый стек, получить практ…

5 Oct 2026, 10:20 UTC902 viewsread 6 October 2026
Video

Лучшие книги для аналитика (a/b тесты, статистика и data science) В этом ролике автор рассмотрит что почитать аналитику, чтобы лучше делать свою работу. Автор расскажет про свои любимые книги про a/b тесты, статистику, машинное обучение, data science и аналитику в целом. 00:00 Статистика и котики 03:50 Illustrated guide to machine learning (книга и YouTube канал) 06:00 Графики, которые убеждают 08:02 Бережливая…

5 Oct 2026, 08:07 UTC922 viewsread 6 October 2026
Photo

Как оплачивать зарубежные сервисы в 2026 году? Можно бегать между посредниками и бояться блокировок после оплаты, а можно выпустить международную карту Lumio Pay и пользоваться любимыми сервисами без рисков. — выпуск карты за 2 минуты — лучший курс пополнения на рынке (у конкурентов на 20% выше) — пополнение рублями или криптой — чистые BIN карт, оплата без риска блокировок Пока все ищут идеальное решение, оно у т…

5 Oct 2026, 06:35 UTC947 viewsread 6 October 2026
Photo

Как развить в компании культуру принимать решения на основе данных Data-driven подход - это метод управления бизнесом, основанный на анализе данных. Он позволяет компаниям принимать решения на основе фактов и цифр, а не на основе интуиции или предположений. В результате, компания может оптимизировать свою деятельность, увеличить эффективность и прибыльность, а также улучшить качество продукции или услуг. В этой стат…

4 Oct 2026, 11:15 UTC≈1,000 viewsread 6 October 2026
Photo

Знакомство с разработкой SAP Data Services SAP Data Services — это графический ETL инструмент для обеспечения качественной обработки данных и их интеграции в единое хранилище. Используя Data Services можно преобразовывать и очищать данные, независимо от их источника. Секреты аналитики

4 Oct 2026, 08:15 UTC≈1,030 viewsread 6 October 2026
Photo

Лень разбираться в SQL? Для вас уже всё сделали. 📌 Канал @databases_secrets рассказывает обо всех возможностях, приёмах и лайфхаках Баз Данных, SQL и Big Data. Подписывайтесь и прокачивайте свои навыки: @databases_secrets

3 Oct 2026, 14:40 UTC≈1,070 viewsread 6 October 2026
Photo

Бесконечные проверки – к успешному развитию: как мы обеспечиваем качество данных В этой статье автор расскажет о процессе мониторинга качества данных. На первый взгляд может показаться, что проверять таблицы – задача рутинная и однотипная, но это не так, ведь все данные имеют свои особенности, а значит и проверки для них зачастую создаются уникальные. Секреты аналитики

3 Oct 2026, 12:30 UTC≈1,100 viewsread 6 October 2026
Photo

5 октября начнется 19-й поток программы Data Engineer от Newprolab Программа для junior- и middle-дата-инженеров, аналитиков, backend-разработчиков, техлидов и тех, кто работает с data-командами и хочет лучше понимать современный стек DE 📌 Что внутри: – 10 недель обучения – 30 занятий: онлайн + записи – 10 практических лабораторных работ – облачный кластер и реальные данные – чат участников и поддержка команды прог…

Showing the 12 most recent of 124 posts we hold for @analytics_secrets. 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 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.

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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Системный и Бизнес-анализ
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Финансовый анализ
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ЭКСЕЛЬХАК
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#7
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@secrets_hr · 22,226
#8
Магия Excel
@lemur_excel · 49,868
#9
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@ML_secrets · 7,398
#10
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@product_and_project · 16,533
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Клуб анонимных аналитиков
@analyst_club · 33,462
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@Design_PowerBI · 13,737
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@DimHelpWithExcel · 11,546
#15
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@db_in_it · 7,302
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@notes_analyst · 7,965
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@ba_wiki · 4,060
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Дашбордец
@dashboardets · 8,835
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Дата-сторителлинг
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@devops_sc · 14,824
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DATApedia | Data science
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Правовая информация
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Machinelearning
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Не только PowerPoint
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Пик Скартариса
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Read from Telegram’s recommendation API, most recently 27 August 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.

Базы данных | Access, SQL, Big Data
@databases_secrets · 30,086
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 7 September 2026
Финансовый анализ
@fin_analytics · 41,525
Telegram ranks this channel #2 of 87 here — alongside 86 others — read 29 August 2026
Системный и Бизнес-анализ
@ba_sa_analytics · 52,250
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 24 August 2026
Excel Hacks | Бухгалтерия и Аналитика
@hacks_excel · 283,847
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 10 August 2026
Python Hacks
@python_secrets · 40,572
Telegram ranks this channel #3 of 82 here — alongside 81 others — read 30 August 2026
1С Hacks | Бухгалтерия и Учёт
@secrets_1C · 46,304
Telegram ranks this channel #3 of 79 here — alongside 78 others — read 27 August 2026
Магия Excel
@lemur_excel · 49,868
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 25 August 2026
Управление персоналом | hr, карьера, кадры
@secrets_hr · 22,226
Telegram ranks this channel #4 of 93 here — alongside 92 others — read 22 September 2026
ЭКСЕЛЬХАК
@excelhackru · 73,574
Telegram ranks this channel #6 of 87 here — alongside 86 others — read 19 August 2026
Excel Everyday
@excel_everyday · 52,300
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 24 August 2026
Google Таблицы
@google_sheets · 60,214
Telegram ranks this channel #11 of 98 here — alongside 97 others — read 22 August 2026
Рабочие лайфхаки: секреты и советы
@lifehackoftheday · 25,730
Telegram ranks this channel #18 of 97 here — alongside 96 others — read 13 September 2026
Клуб анонимных аналитиков
@analyst_club · 33,462
Telegram ranks this channel #21 of 96 here — alongside 95 others — read 4 September 2026
Математика | Геометрия
@algebra_shpargalki · 23,898
Telegram ranks this channel #37 of 86 here — alongside 85 others — read 17 September 2026
Эрудиция | Digital и бизнес образование
@eruditurl24 · 97,235
Telegram ranks this channel #37 of 86 here — alongside 85 others — read 16 August 2026
Бизнес Кийосаки
@Business_University · 173,027
Telegram ranks this channel #42 of 63 here — alongside 62 others — read 12 August 2026
Скиллгет | Онлайн образование
@skillget · 80,893
Telegram ranks this channel #67 of 88 here — alongside 87 others — read 18 August 2026
Сила Книги | Аудиокниги | Flibusta
@silaknigi · 122,637
Telegram ranks this channel #70 of 86 here — alongside 85 others — read 13 August 2026
В найме норм!
@Vnaime_norm · 80,935
Telegram ranks this channel #79 of 94 here — alongside 93 others — read 18 August 2026
Python обучающий
@pythonist24 · 55,754
Telegram ranks this channel #80 of 88 here — alongside 87 others — read 23 August 2026

This channel appears in 20 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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Секреты аналитики | Data Science, BI, Tableau” (@analytics_secrets), 46,786 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/analytics_secrets.

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.