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Channel
Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses
@udacityfreecourse
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
46,497subscribers
-577 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 | -1001354192622 |
|---|---|
| Type | Channel |
| Username | @udacityfreecourse |
| Description | 👉Udacity, Microsoft, Edx, Google and Eduonix courses for free 👉Get premium Free courses from top websites 👉We also provide discount coupon codes for premium Udacity courses to help you as much as we can For promotions: @love_data |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/udacityfreecourse |
Topic
Education — 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 97% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 08:35 | 46,497 | -28 |
| 23 Oct 2026, 11:45 | 46,525 | -2 |
| 22 Oct 2026, 14:21 | 46,527 | -21 |
| 21 Oct 2026, 09:49 | 46,548 | -24 |
| 20 Oct 2026, 09:35 | 46,572 | -19 |
| 19 Oct 2026, 08:59 | 46,591 | -18 |
| 18 Oct 2026, 11:20 | 46,609 | -7 |
| 17 Oct 2026, 11:28 | 46,616 | +19 |
| 16 Oct 2026, 14:46 | 46,597 | +28 |
| 15 Oct 2026, 15:38 | 46,569 | +7 |
| 14 Oct 2026, 16:36 | 46,562 | +15 |
| 13 Oct 2026, 04:57 | 46,547 | -8 |
| 8 Oct 2026, 22:55 | 46,555 | -47 |
| 4 Oct 2026, 13:36 | 46,602 | -102 |
| 26 Sept 2026, 07:42 | 46,704 | -82 |
| 17 Sept 2026, 10:39 | 46,786 | -13 |
| 15 Sept 2026, 08:21 | 46,799 | -1 |
| 13 Sept 2026, 16:59 | 46,800 | -17 |
| 11 Sept 2026, 21:36 | 46,817 | -21 |
| 9 Sept 2026, 08:57 | 46,838 | first reading |
Engagement
124 posts held, back to 25 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 158 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.90%
- avg views ÷ 46,497 subscribers
- Avg views / post
- 885
- 25 posts measured
- Reaction rate
- 0.353%
- reactions ÷ views · ER floor
- Posts in window
- 25
- 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. It is computed over the 17 of 25 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 124 (25 July 2026 – 24 October 2026) |
| Views total | 22,135 |
| Reactions total | 56 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Oct 2026, 11:32 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
- ≈310
- Videos
- ≈1
- Links
- ≈1,060
Lifetime counters from Telegram’s own channel header, read 24 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 30s
- Average length
- 30s
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.
Reaction mix
259 reactions across 98 posts, in 4 distinct kinds. The most used accounts for 95.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 247 | 95.4% | |
| 👍 | 8 | 3.09% | |
| 🤣 | 2 | 0.772% | |
| 🥰 | 2 | 0.772% |
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 98 of the 124 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 259 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 124 most recent posts we hold, published 25 July 2026 to 24 October 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.
Recent posts
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❤9
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❤2
✅ GitHub Basics You Should Know 💻 GitHub is a cloud-based platform to host, share, and collaborate on code using Git. ☁️🤝 1️⃣ What is GitHub? It’s a remote hosting service for Git repositories — ideal for storing projects, version control, and collaboration. 🌟 2️⃣ Create a Repository - Click New on GitHub ➕ - Name your repo, add a README (optional) - Choose public or private 🔒 3️⃣ Connect Local Git to GitHub git …
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𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗜𝗖𝗥𝗢-𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲! 🎓 ✅ 100% FREE Learning Experience ✅ Short Programs — Approximately 4–6 Hours ✅ Practical, Real-World Tasks ✅ Self-Paced & Online ✅ Certificate Opportunities for Your Resume & LinkedIn ✅ No Traditional Interview Process 🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼-𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀👇:- https://pdlink.in/4yWgaPn ⚡ Don't wait for your first job to start gaining practical experience!
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An important collection of the 15 best machine learning cheat sheets. 1- Supervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf 2- Unsupervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf 3- Deep Learning https://github.com/afshinea/stanford-cs-229-machine-lea…
❤2
𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓 Explore IBM Cognitive Class and build in-demand tech skills without spending money on course fees! 📚 𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗘𝘅𝗽𝗹𝗼𝗿𝗲:- 💫 Artificial Intelligence & Machine Learning 🔥Python for Data Science 📊 Data Science Fundamentals ☁️ Cloud Computing & Big Data 🔗 𝗦𝘁𝗮𝗿𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗛𝗲𝗿𝗲 👇 https://pdlink.in/4zGswuX 📲 Save & Share with friends preparing for tech careers! 🔥
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❤1
Showing the 12 most recent of 124 posts we hold for @udacityfreecourse. 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
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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@sqlspecialist · 110,7956 postsFree Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,4814 postsPython Projects & Resources
@pythondevelopersindia · 63,4483 postsData Science & Machine Learning
@datasciencefun · 77,7662 postsPython Programming Books
@dsabooks · 59,1342 postsWeb Development - HTML, CSS & JavaScript
@javascript_courses · 55,6812 postsCoding Interview Resources
@crackingthecodinginterview · 52,0631 postMicrosoft Excel for Finance & Data Analytics
@excel_data · 10,6511 postPower BI & Tableau Resources
@PowerBI_analyst · 55,8001 postPython Programming & AI Resources
@pythonproz · 13,5361 postWeb Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,5141 post
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.
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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses” (@udacityfreecourse), 46,497 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/udacityfreecourse.
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.