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 11 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
34 measurements spanning 43 days, net +498. 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 10,956–11,615 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:19
11,533
-6
15 Sept 2026, 18:59
11,539
+1
12 Sept 2026, 04:20
11,538
+2
10 Sept 2026, 00:57
11,536
+13
6 Sept 2026, 18:20
11,523
+150
4 Sept 2026, 07:15
11,373
+6
2 Sept 2026, 20:17
11,367
+13
1 Sept 2026, 21:23
11,354
+16
1 Sept 2026, 00:15
11,338
+21
30 Aug 2026, 20:36
11,317
+7
29 Aug 2026, 20:04
11,310
+13
28 Aug 2026, 23:34
11,297
+11
27 Aug 2026, 22:24
11,286
+14
26 Aug 2026, 22:55
11,272
+17
25 Aug 2026, 23:05
11,255
+35
24 Aug 2026, 19:39
11,220
+72
23 Aug 2026, 07:12
11,148
+78
21 Aug 2026, 20:07
11,070
+7
20 Aug 2026, 16:44
11,063
-1
19 Aug 2026, 18:17
11,064
first reading
Engagement
65 posts held, back to 15 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 42 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.6%
avg views ÷ 11,533 subscribers
Avg views / post
1,570
8 posts measured
Reaction rate
0.397%
reactions ÷ views · ER floor
Posts in window
9
of 65 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
65 (15 July 2026 – 2 September 2026)
Views total
12,591
Reactions total
50
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:45 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
Video runtime
7m 33s
Average length
1m 05s
Measured directly from 7 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
383 reactions across 54 posts, in 7 distinct kinds. The most used accounts for 47.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
183
47.8%
👏
73
19.1%
👍
65
17.0%
👌
46
12.0%
🤝
10
2.61%
💔
3
0.783%
😭
3
0.783%
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 57 of the 65 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 394 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 65 most recent posts we hold, published 15 July 2026 to 2 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.
⁉️ داده دارید؛ اما تصمیم دادهمحور ندارید؟
این همان شکاف خطرناک سازمانهاست.
امروز چالش کسبوکارها کمبود ابزار نیست؛
کمبود تخصص حرفهای تحلیل داده در سطح تصمیمسازی مدیریتی است.
🎯 دوره ی جامع تحلیل کسب و کار داده محور دانشگاه تهران، همراه با آمادگی آزمون بینالمللی CBDA کد ۸
🔶 اگر مدیر، کارشناس ارشد یا علاقهمند جدی حوزه Data Analytics هستید و میخواهید تحلیل را از سطح گزارشگیری به سطح «تصمیمسازی راهبردی» ارتقا ده…
هوش مصنوعی، ابزار کارِ شماست؛ نه جایگزین شما! 🧠
تصور کن هر روز بدون دخالت دستی:
✅ پیامها بررسی بشن
✅ دادهها تحلیل بشن
✅ گزارشها ساخته بشن
✅ محتوا تولید بشه
✅ چندین ابزار و سرویس با هم کار کنن
همه اینها با n8n و قدرت مدلهای زبانی بزرگ (LLM) امکانپذیره.
👐 ما در دوره جامع «تهران دیتا»، شما را از یک کاربر ساده، به یک معمار سیستمهای هوش مصنوعی تبدیل میکنیم.
📌 آنچه دریافت میکنید:
*️⃣ ۱۵۰ ساعت آموزش عملی (آنلا…
🛜 صدای تجربه دانشجویان، برای ما ارزشمند است. 🗣️
🪦🪦🪦🪦🪦🪦🪦
🌻از سرکار خانم مهتا مهآبادی، دانشجوی محترم کد ۵ دوره تحلیل دادههای کسبوکار، بابت همراهی، اعتماد و بیان نظرات ارزشمندشان صمیمانه تشکر میکنیم. 🙏
🎤این بازخوردها برای ما فقط یک نظر نیست؛ بلکه نشاندهنده مسیری است که در طراحی و اجرای جامعترین و استانداردترین دوره تحلیل دادههای کسبوکار کشور دنبال کردهایم؛
🚀 مسیری مبتنی بر استانداردهای حرفهای، تفکر داده…
🎉 تقارن دو طلوع نورانی
میلاد خورشید نبوت، خاتمالمرسلین حضرت محمد مصطفی (ص) و آغازگر انقلاب علمی و فقهی، حضرت امام جعفر صادق (ع)، بر دلهای جویای دانایی، رحمت و راستی فرخنده و گرامی باد.
تهراندیتا، مرجع تخصصی آموزشهای حرفهای علم داده و هوش مصنوعی کشور
وبسایت | ایتا | بله | روبیکا | سروش | تلگرام | لینکدین | اینستاگرام
🚨ظرفیت «کد ۱۰» تکمیل شد؛ اما برای ۱۰ همراهِ بیشتر، دعوتنامهای جدید صادر کردیم❕
در دنیایی که دادهها دارایی اصلی کسبوکارها هستند، مرز میان کارشناس معمولی و «استراتژیست داده»، تواناییِ تبدیل اعداد به راهکارهای درآمدزاست.
🎉 بنا به استقبال بینظیر شما و به یمن میلاد پیامبر اکرم (ص) و امام جعفر صادق (ع)، پنجرهای محدود برای ثبتنام باز شد:
🔹 جامعترین دوره هوش تجاری (BI) با گواهینامه قابل ترجمه دانشگاه تهران
🔧 در ا…
🔮تحلیل داده کسبوکار نقشی حیاتی در سازمان ها و شرکتها؛ 📎
وقتی ارزش داده از «تحلیل» فراتر میرود و به «تصمیم» میرسد.
🏠 امروز تقریباً همه سازمانها به داده دسترسی دارند؛ اما داشتن داده، بهمعنای دادهمحور بودن نیست.
❗️ سؤال مهمتر این است:
آیا میدانیم چه چیزی را باید تحلیل کنیم، چگونه سؤال درست را از مسئله کسبوکار استخراج کنیم و چطور نتیجه تحلیل را به یک تصمیم قابلاجرا تبدیل کنیم؟
✨ در دوره تحلیل دادههای کسبوک…
📣 دوره جامع هوش تجاری دانشگاه تهران؛ انتخابِ حرفهایها
وقتی صحبت از «هوش تجاری» و آینده شغلی است، تنها یک چیز ارزش شنیدن دارد: تجربه واقعی کسانی که این مسیر را طی کردهاند.✅
در این ویدیو، یکی از شرکتکنندگان دوره جامع هوش تجاری دانشگاه تهران، بیپرده از تجربهاش میگوید. از ساختار علمی کلاسها گرفته تا مهارتهایی که دقیقاً برای ورود به بازار کار لازم است.
⬅️ پیشنهاد میکنم تا انتهای این ویدیو را بشنوید، چون دقیقا…
🎉 روز کارمند مبارک؛ روزِ کسانی که با تصمیمهای درست، مسیر رشد سازمان را میسازند.
پشت هر گزارش دقیق، هر فروش بهتر و هر تصمیم بهموقع، یک نفر ایستاده که فقط کارها را انجام نمیدهد؛ بلکه مسئله را میفهمد، داده را تحلیل میکند و راهحل میسازد.
هوش تجاری یعنی همین:
📊 اینکه از میان فایلها، گزارشها و عددهای پراکنده، به یک تصویر روشن برسید؛ تصویری که به مدیران کمک میکند سریعتر، دقیقتر و مطمئنتر تصمیم بگیرند.
✅ ا…
🏆جامعترین و استانداردترین دوره تحلیل دادههای کسبوکار با آمادگی آزمون CBDA 🔰
Business Data Analyst فقط با داده کار نمیکند؛ به سازمان کمک میکند تصمیم بهتری بگیرد.
🔻 تقریباً هر واحد سازمانی با یک مسئله تحلیلی روبهروست:
🔹 فروش و بازاریابی:
تحلیل رفتار مشتری، اثربخشی کمپینها و شناسایی فرصتهای افزایش فروش
🔹 مالی:
تحلیل سودآوری، بودجه، هزینهها و شناسایی نقاط پرریسک
🔹 مدیریت محصول:
تحلیل بازار و مشتری برای توسعه …
🧠 شرکت OpenAI رسماً وارد زمین بازی «عاملهای هوش مصنوعی» (AI Agents) شد. با ChatGPT Work، دیگر قرار نیست صرفاً پرامپت بنویسید و جواب متنی بگیرید؛ هوش مصنوعی قرار است وارد ایمیل، تقویم و نرمافزارهای سازمانی شود تا کارها را بهصورت خودکار جلو ببرد.
👀 دوران جدیدی آغاز شده: AI از جایگاه «مشاور» به جایگاه «مجری» تغییر موقعیت میدهد. اما آیا زیرساختهای امنیتی و حریم خصوصی برای این جهش آماده است؟
🌐 گزارش و تحلیل کامل ای…
Showing the 12 most recent of 65 posts we hold for @tehran_data. 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.
Posts edited after publishing
@tehran_data edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
26 August 2026
Forward network
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.
Mentions
Named by 74 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
Power BI | تحلیل داده | SQL @PowerBI_ir · 21,836 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 22 September 2026
Visa Mondial | ویزا موندیال @visamondial · 25,462 Telegram ranks this channel #39 of 62 here — alongside 61 others — read 15 September 2026
آموزش کامل مقاله نويسی با هوش مصنوعی @tephd5 · 56,080 Telegram ranks this channel #61 of 81 here — alongside 80 others — read 23 August 2026
موسسه بین المللی علوم نوبنیاد @iins_ir · 36,324 Telegram ranks this channel #85 of 94 here — alongside 93 others — read 8 September 2026
This channel appears in 4 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“تهران دیتا-دانشگاه تهران” (@tehran_data), 11,533 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tehran_data.
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.