Channel
@datascience_school
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
2,803subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001153462770 |
|---|---|
| Type | Channel |
| Username | @datascience_school |
| Created | Between 1 September 2018 and 31 March 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/datascience_school |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 17:34 | 2,803 | -2 |
| 9 Aug 2026, 19:11 | 2,805 | -2 |
| 7 Aug 2026, 03:50 | 2,807 | +2 |
| 6 Aug 2026, 21:30 | 2,805 | no change |
| 6 Aug 2026, 21:20 | 2,805 | first reading |
20 posts held, back to 9 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 20 posts for this entry, the most recent from 21 June 2026. An engagement rate over an empty window would be a number about nothing.
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.
108 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 44.4% | |
| 🔥 | 31 | 28.7% | |
| 👍 | 19 | 17.6% | |
| 👏 | 9 | 8.33% | |
| 🎉 | 1 | 0.926% |
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 19 of the 20 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 108reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 9 March 2025 to 21 June 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.
تصور کنید میخواهید در یک دوره آموزشی یا وبینار بینالمللی شرکت کنید 🌍🎓، اما به دلیل تسلط نداشتن به زبان انگلیسی، از این فرصت صرفنظر میکنید. امروز هوش مصنوعی این مانع را برطرف کرده است ✅🔓. یکی از قابلیتهای جدید Google AI Studio این امکان را فراهم کرده است که هنگام مشاهده ویدئوهای انگلیسی 🎬🇬🇧، ترجمه و تحلیل محتوا را بهصورت همزمان دریافت کنید، این یعنی دسترسی سریعتر و آسانتر به دانش روز دنیا 🚀🌐. موسسه زیما در …
❤2
Data Science School pinned «بیشتر دوست دارید چه محتوایی در کانال ببینید؟ 🚀»
بیشتر دوست دارید چه محتوایی در کانال ببینید؟ 🚀
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
🔥2❤1
سلام به همهی همراهان عزیز کانال 🌱 امیدوارم حالتون خوب باشه و خوشحالم که دسترسی مجدد به اینترنت برقرار شده 🙏 امیدوارم مطالب و محتوایی که در ادامه منتشر میکنیم، بتونه برای شما مفید، کاربردی و الهامبخش باشه. برای اینکه محتوای کانال رو بهتر و هدفمندتر پیش ببریم، یک نظرسنجی آماده کردیم تا بدونیم شما بیشتر علاقهمندید چه موضوعاتی رو در آینده ببینید 📊 همچنین برای دوستانی که در دوره SQL سال گذشته شرکت کرده بودند، پروژه …
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❇️ اطلاعیه برگزاری دوره SQL دوستان عزیز، 📅 تاریخ برگزاری جلسات دورهی ۱۶ ساعته SQL به شرح زیر است: 🕰 ساعت برگزاری بوقت ایران: ۱۹:۳۰ تا ۲۱:۳۰ 🗓 تاریخ جلسات: ۲۴ و ۲۵ آبان ۸، ۹، ۱۵ و ۱۶ آذر دوره در ۶ جلسه برگزار میشه و با زبان ساده و بصورت مقدماتی، مهارت SQL رو بهصورت کاربردی یاد میگیریم 📊 سؤالی داشتید، به آیدی @DSStalent_Support حتماً پیام بدید 💬 با احترام و اشتیاق، تیم Data Science School 🙏 لینک محتوای دوره و…
❤4🔥1
لینک آشنایی بیشتر با محتوای دوره و سرفصل ها: https://zimadp.com/course/sql/ 🏫 @DataScience_School 🌐 Http://dsstalent.com
🎉1
❇️ سلام به همهی دوستان عزیز در کانال Data Science School 🌱 💡مدتیه با تیممون مشغول برنامهریزی برای یه پروژهی خاص بودیم; اینکه بتونیم تجربههای واقعیمون در مسیر رشد از تحلیلگر داده (Data Analyst) تا دانشمند ارشد داده (Senior Data Scientist) رو با شما به اشتراک بگذاریم. نتیجه این تلاشها، طراحی یک دورهی کاربردی و خلاصه برای مطالعه موردی در حوزه منابعانسانی (که قابل تعمیم به همه حوزه ها است) بصورت کاملاً اصولی اس…
❤3👏1
#DataAsProduct 📦 «داده بهعنوان محصول» یعنی چی؟ بیشتر تیمها هنوز داده رو صرفاً ذخیره میکنن، نه اینکه ازش محصول بسازن. اما شرکتهای موفق در دنیا چی کار میکنن؟ ✅ دادههاشون لایهبندی شدهست ✅ تیمهاشون نقشدارن: از مهندس داده (Data Engineer) تا کاربر نهایی (Final User) ✅ و خروجیهاشون یک محصول تحلیلی بسیار جامع هست و نه فقط یک گزارش ساده 🔍 از دیتاسورس تا مدلهای ML، همه چیز ساختار داره و با هدف مشخصی طراحی شده. 📊…
🔥2
✨ سلام به همهی دوستان و همراهان عزیز کانال 🙌 مدتی بود فعالیتی نداشتم — دلیلش هم مشغلههای زیاد و شروع یه مسیر شغلی جدید در کانادا بود. ✴️ خبر خوب اینه که حالا برگشتم، با کلی تجربه و درسآموخته از مسیر رشد شخصی و حرفهای، از دیتا آنالیست تا دانشمند ارشد داده (Senior Data Scientist) (پست لینکدین من) در یکی از شرکتهای مطرح حوزه بانکداری در کانادا 🇨🇦 ✅ مطالب و بهروزرسانیهای جدیدی در راهه که میتونه به مسیر یادگیری …
❤28
#DAX #Power_BI ❇️ نکته جالب درباره AVERAGEA در DAX! 🔹 برخلاف تصور، AVERAGEA فقط روی مقادیر یک ستون اعمال نمیشود، بلکه میتواند Measures را هم بپذیرد! 🔹 اگر ورودی آن یک Measure باشد، معادل فرمول زیر خواهد بود: AVERAGEX('The Table Where the Measure Is', [Measure]) ✅ این یعنی نتیجهی Measure به جدولی که در آن قرار دارد وابسته است! 🏫 @DataScience_School 🌐 Http://dsstalent.com
👍2🔥1
#Power_BI ❇️لایههای چهارگانه مشکلات هوش تجاری ▪️در بسیاری از سازمانها، فقط به لایه سطحی مشکلات دادهای پرداخته میشود در حالیکه باید به مسائل در لایههای عمیقتری توجه نمود: 🔹 لایه سطحی: مشکلاتی مانند کندی بارگذاری داشبوردها، شاخصهای کلیدی عملکرد (KPI) نادرست، یا خطاهای خروجی. 🔹 لایه ساختاری: ریشه بسیاری از ناپایداریها را باید در زیرساختهای دادهای جستوجو کرد؛ از جمله پایپلاینهای ناپایدار و فرآیندهای ETL…
❤1👍1
#storytelling ✳️مهارتی کلیدی در تحلیل داده که کمتر به آن توجه میشود: انتخاب نمودار مناسب 🔹نحوهی نمایش دادهها تأثیر مستقیمی بر درک مخاطب دارد. 🔹انتخاب نمودار صحیح نه تنها باعث وضوح بیشتر میشود، بلکه به انتقال دقیق پیام نیز کمک میکند. 🔹هدف از نمایش داده، انتقال بینش است، نه صرفاً نمایش اطلاعات. 🔹تسلط بر این مهارت، بخشی از توانایی Data Storytelling حرفهای است؛ یعنی دانستن اینکه هر نمودار، در چه زمانی و با چه ه…
👍4👏2❤1
Showing the 12 most recent of 20 posts we hold for @datascience_school. 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.
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.
بیشتر دوست دارید چه محتوایی در کانال ببینید؟ 🚀
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 9 March 2025 to 21 June 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.
Citation-graph rank — 926,863 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 1 registered channel — 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Data Science School” (@datascience_school), 2,803 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/datascience_school.
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.