Telegram RegisterThe public register of Telegram

Channel

Machine Learning & Artificial Intelligence | Data Science Free Courses

@datasciencefree

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

67,788subscribers

+101 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-1001441864014
TypeChannel
Username@datasciencefree
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/datasciencefree

Growth

67,68767,78867,737.56 August 2026 — 67,687 subscribers6 August 2026 — 67,687 subscribers7 August 2026 — 67,715 subscribers8 August 2026 — 67,728 subscribers9 August 2026 — 67,746 subscribers10 August 2026 — 67,764 subscribers11 August 2026 — 67,774 subscribers12 August 2026 — 67,788 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net +101. 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 67,672–67,803 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:1967,788+14
11 Aug 2026, 21:5567,774+10
10 Aug 2026, 21:4167,764+18
9 Aug 2026, 19:0167,746+18
8 Aug 2026, 16:5067,728+13
7 Aug 2026, 14:3867,715+28
6 Aug 2026, 14:4567,687no change
6 Aug 2026, 14:3867,687first reading

Engagement

22 posts held, back to 2 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.42%
avg views ÷ 67,788 subscribers
Avg views / post
3,000
16 posts measured
Reaction rate
0.176%
reactions ÷ views · ER floor
Posts in window
16
of 22 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 15 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held22 (2 July 202612 August 2026)
Views total47,932
Reactions total80
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:09 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.

Reaction mix

171 reactions across 21 posts, in 6 distinct kinds. The most used accounts for 89.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15389.5%
👍127.02%
🎉21.17%
👎21.17%
👌10.585%
😁10.585%

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 21 of the 22 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 171reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 2 July 2026 to 12 August 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

12 Aug 2026, 08:46 UTC632 views4 reactionsread 12 August 2026

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10 Aug 2026, 13:46 UTC≈1,270 views2 reactionsread 12 August 2026
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6 Aug 2026, 03:40 UTC≈2,570 views5 reactionsread 12 August 2026

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5

5 Aug 2026, 09:22 UTC≈2,410 viewsread 12 August 2026
Photo

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2 Aug 2026, 20:07 UTC≈3,090 views7 reactionsread 12 August 2026

Breaking into Data Analytics doesn’t need to be complicated. If you’re just starting out, Here’s how to simplify your approach: Avoid: 🚫 Jumping into advanced tools like Hadoop or Spark before mastering the basics. 🚫 Focusing only on tools, not on business problem-solving. 🚫 Collecting certificates instead of solving real problems. 🚫 Thinking you need to know everything from SQL to machine learning right away. In

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1 Aug 2026, 13:50 UTC≈3,000 views3 reactionsread 12 August 2026

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31 Jul 2026, 19:04 UTC≈3,060 views10 reactionsread 12 August 2026

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29 Jul 2026, 18:09 UTC≈3,120 views5 reactionsread 12 August 2026
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27 Jul 2026, 19:03 UTC≈3,190 views11 reactionsread 12 August 2026

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26 Jul 2026, 10:00 UTC≈2,940 views6 reactionsread 12 August 2026

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25 Jul 2026, 10:31 UTC≈3,330 views7 reactionsread 12 August 2026
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6🎉1

24 Jul 2026, 10:10 UTC≈3,350 views8 reactionsread 12 August 2026
Photo

🔰 Important python functions

7👍1

Showing the 12 most recent of 22 posts we hold for @datasciencefree. 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.

Citation-graph rank

Citation-graph rank — 54,511 of 1,151,006entries 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.

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 7 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.

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.

Great Learning Academy
@GreatLearningAcademy · 157,583
Telegram ranks this channel #15 of 83 here — alongside 82 others — read 12 August 2026
Tricky Man
@Trickyman2 · 155,283
Telegram ranks this channel #26 of 57 here — alongside 56 others — read 12 August 2026
Linkedin Learning
@linkedin_learning · 218,111
Telegram ranks this channel #46 of 65 here — alongside 64 others — read 11 August 2026
Krishan Kumar - Jobs & Internships Updates
@jobs_and_internships_updates · 199,664
Telegram ranks this channel #67 of 82 here — alongside 81 others — read 11 August 2026
Coders World
@codersworld1 · 151,181
Telegram ranks this channel #74 of 83 here — alongside 82 others — read 12 August 2026
Freshershunt - Off Campus Drive Updates
@freshershunt · 280,744
Telegram ranks this channel #77 of 84 here — alongside 83 others — read 10 August 2026
job4freshers.co.in
@job4fresherss · 327,579
Telegram ranks this channel #81 of 92 here — alongside 91 others — read 10 August 2026
Seekeras
@seekeras · 230,869
Telegram ranks this channel #87 of 91 here — alongside 90 others — read 11 August 2026

This channel appears in 8 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Machine Learning & Artificial Intelligence | Data Science Free Courses” (@datasciencefree), 67,788 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/datasciencefree.

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.