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 16 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
7 measurements spanning 20 days, net -14. 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 1,825–1,844 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 02:18
1,827
-4
12 Sept 2026, 13:36
1,831
-2
8 Sept 2026, 07:17
1,833
-5
30 Aug 2026, 19:57
1,838
-4
27 Aug 2026, 18:47
1,842
+1
27 Aug 2026, 00:00
1,841
no change
26 Aug 2026, 23:45
1,841
first reading
Engagement
18 posts held, back to 29 March 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 1 page of 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 18 posts for this entry, the most recent from 5 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
4 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3
75.0%
👍
1
25.0%
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 5 of the 18 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 29 March 2026 to 5 July 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.
السلام عليكم، فيه سؤال بيتكرر كتير جدا الفترة دي !، إيه الفرق بين Data Analyst و Data Scientist و Business Analyst؟ الأدوار التلاتة بيشتغلوا على الداتا بس كل واحد بيحل مشكلة مختلفة. Data Analyst: بياخد ال Data الخام وبيحولها ل Insights تساعد في قرار محدد. أساسه SQL، تصميم Dashboards وفهم الأرقام بشكل يقدر يوصله لأي حد، وبالمناسبة هو من أكتر الوظائف المطلوبة في العالم حاليا. الأدوات: Excel, SQL, Power BI, Tableau وغير…
إن شاء الله هكون متواجد بشكل يومي في لايف علي التيك توك هنتكلم فيه عن البرمجة وتحليل البيانات وعلوم البيانات وهندسه البيانات والذكاء الاصطناعي وكل مايخص المجال فلو مش عامل فلو اعملي فلو عليه
https://www.tiktok.com/@atartour?_r=1&_t=ZS-97hoJiUG5ot
𝐈 𝐜𝐨𝐥𝐥𝐞𝐜𝐭 𝐚𝐥𝐥 𝐈𝐁𝐌 𝐚𝐧𝐝 𝐔𝐝𝐚𝐜𝐢𝐭𝐲 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄! 1. Python for Data Science 🔗 https://lnkd.in/dYDPhs8f 2. SQL for Data Analysis 🔗 https://lnkd.in/dijfrgj7 3. Data Analysis with Python 🔗 https://lnkd.in/dJQfKmWX 4. Data Visualization with Python 🔗 https://lnkd.in/d-GASZJZ 5. IBM Data Science Professional Course: 🔗 https://lnkd.in/ddcBm6xN 6. Python 🔗 https://lnkd.in/dSPFHE5U 7. Introduction to Programming…
المحاضره الاولى من كورس Python for data analysis
من كورس جمعية رسالة
اللينك
https://youtu.be/U35s-rZAv6M?si=BzikMvkAeWONVtWh
#طريقك_للبرمجة
#يلا_نبرمج
#احمد_طرطور
لو حابب تبدأ رحلتك في مجال الـ Data Engineering ف في مجموعه من الاساسيات المهمة جدا اللي لازم تكون فاهمها كويس
[ Data Warehouse - Dimension Modeling ]
المفاهيم دي تعتبر ال foundation لأي شغل في المجال، وبدونها هتكون تايه في حاجات كتير قدام و دول من أفضل الـ playlists اللي لقيتهم على YouTube، وبيشرحوا الموضوع بشكل عملي ومن مهندسين عندهم خبرة عملية في السوق Data Warehouse Playlist
[https://Inkd.in/dZ-ZPcCJ]
Dimensi…
❤1
Showing the 12 most recent of 18 posts we hold for @yallanbrmag. 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.
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.
مذكرات تعليمية للمرحلة الابتدائية @Mozkrat4prim · 47,327 Telegram ranks this channel #33 of 68 here — alongside 67 others — read 26 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“يلا نبرمج” (@yallanbrmag), 1,827 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/yallanbrmag.
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.