Channel
@analytics_education
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
53subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001190901598 |
|---|---|
| Type | Channel |
| Username | @analytics_education |
| Description | Собираем все полезные материалы, которые помогают нам в работе |
| Created | 30 September 2020 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/analytics_education |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 09:16 | 53 | no change |
| 6 Aug 2026, 20:10 | 53 | first reading |
7 posts held, back to 30 September 2020 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 1 December 2020. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 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.
Ребята из ManyChat поделились своим опытом (очень интересным, кстати) о том, как устроена архитектура их аналитической системы, какой подход используется для построения собственных ETL-проектов и как использовать Snowflake как Data Warehouse. Рекомендуем ознакомиться, чтобы понимать, как всё это работает в реальной жизни: https://habr.com/ru/company/manychat/blog/530054/
Хороший ресурс с помощью которого можно структурировать базовые знания по python http://aliev.me/runestone/index.html Помимо теории, там сразу тренажеры на которых можно увидеть как всё работает. Егор, спасибо за материал!
Полезный материал с примерами скриптов по тому как строить мультиканальную атрибуцию в BigQuery, Segment, dbt и Looker https://rittmananalytics.com/blog/2020/2/8/multichannel-attribution-bigquery-dbt-looker-segment
Уже многим присылал эту статью, но положу ее еще и здесь, чтобы не потерялось: https://habr.com/ru/company/glowbyte/blog/515940/
https://sql-academy.org/ru/guide
Оконные функции — это мощнейший инструмент аналитика, который с легкостью помогает решать множество задач. http://thisisdata.ru/blog/uchimsya-primenyat-okonnyye-funktsii/
Channel created
Showing the 7 most recent of 7 posts we hold for @analytics_education. 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Материалы по аналитике” (@analytics_education), 53 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/analytics_education.
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.