Telegram RegisterThe public register of Telegram

Channel

Ultimate Freemium Courses

@freecoursee

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

21,976subscribers

-79 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001121451028
TypeChannel
Username@freecoursee
DescriptionFREE+PREMIUM=FREEMIUM. One Stop for all type of Premium online Courses at free of cost. Requests/Cross/Paid ads @Htconnect_bot DMCA http://bit.ly/2Q09EV2 FAQ's:https://t.me/freecoursee/8487 Also @freecourse3u
CreatedBetween 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/freecoursee

Growth

21,97622,05522,015.56 August 2026 — 22,055 subscribers6 August 2026 — 22,055 subscribers7 August 2026 — 22,048 subscribers8 August 2026 — 22,035 subscribers9 August 2026 — 22,022 subscribers10 August 2026 — 22,017 subscribers11 August 2026 — 22,002 subscribers12 August 2026 — 21,993 subscribers13 August 2026 — 21,988 subscribers14 August 2026 — 21,976 subscribers6 August 202614 August 2026
10 measurements spanning 8 days, net -79. 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 21,964–22,067 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 18:1421,976-12
13 Aug 2026, 09:2421,988-5
12 Aug 2026, 10:4821,993-9
11 Aug 2026, 09:0322,002-15
10 Aug 2026, 09:4522,017-5
9 Aug 2026, 11:5222,022-13
8 Aug 2026, 10:3422,035-13
7 Aug 2026, 07:2522,048-7
6 Aug 2026, 12:3022,055no change
6 Aug 2026, 12:2222,055first reading

Engagement

20 posts held, back to 17 June 2022the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 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 30 June 2022. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
99
Videos
29
Links
33,600

Lifetime counters from Telegram’s own channel header, read 15 August 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.

Reaction mix

251 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 77.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍19577.7%
259.96%
👎124.78%
🤩103.98%
🎉51.99%
🔥41.59%

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 20 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 251reactions 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 17 June 2022 to 30 June 2022, 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

30 Jun 2022, 03:33 UTC≈86,300 views47 reactionsread 15 August 2026

(RE-POST) Emotional Intelligence for Software Engineers and Developers Improve your Emotional Intelligence & Boost your career growth using Success@Work model with effective Practical Tips ! Understand Why Emotional Intelligence is Important for Software Engineers The Components & Model of EI Role of Emotional Intelligence in complete Software Engineering Team : From Developers to Project Managers. D

👍357👎4🔥1

30 Jun 2022, 03:30 UTC≈71,700 views23 reactionsread 15 August 2026
Forwarded from @TheFX_Fn_Course

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👍15🤩42🔥2

30 Jun 2022, 03:29 UTC≈58,500 views33 reactionsread 15 August 2026

Java 2022 Complete Course For Beginners Java Complete Training Course For Beginners 2022, Complete Java Introduction to Java Programming Language Getting Started With Java Arrays ,Values and Data Types, Operators and Operands Java Various Operator types ,Java Array Lists, Java Conditional statements, Java decision making Java function statements and Java loops, various Java loops used in combinations Coupon Link h

👍225👎3🤩3

21 Jun 2022, 03:50 UTC≈51,000 views22 reactionsread 15 August 2026

(RE-POST) Linear Regression and Logistic Regression in Python Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners (8.5 hours of course) Learn how to solve real life problem using the Linear and Logistic Regression technique Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis Understand h

👍155🎉2

21 Jun 2022, 03:50 UTC≈40,500 views20 reactionsread 15 August 2026

(RE-POST) Machine Learning & Deep Learning in Python & R Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R (35 hours of course) Learn how to solve real life problem using the Machine learning techniques Machine Learning models such as Linear Regression, Logistic Regression, KNN etc. Advanced Machine Learning models such as Decision trees,

👍181🔥1

21 Jun 2022, 03:49 UTC≈36,700 views12 reactionsread 15 August 2026

(RE-POST) Decision Trees, Random Forests, AdaBoost & XGBoost in R Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming Solid understanding of decision trees, bagging, Random Forest and Boosting techniques in R studio Understand the business scenarios where decision tree models are applicable Tune decision tree model's hyperparameters and e

👍101👎1

21 Jun 2022, 03:48 UTC≈31,600 views10 reactionsread 15 August 2026

(RE-POST) Complete Machine Learning with R Studio - ML for 2022 Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio (13 hours of course) Learn how to solve real life problem using the Machine learning techniques Machine Learning models such as Linear Regression, Logistic Regression, KNN etc. Advanced Machine Learning models such as Decision tr

👍9🤩1

21 Jun 2022, 03:47 UTC≈26,700 views10 reactionsread 15 August 2026

(RE-POST) CSS, Bootstrap, JavaScript And PHP Stack Complete Course CSS, Bootstrap And JavaScript And PHP Complete Frontend and Backend Course (8 hours of course) Introduction to Frontend and Backend technologies Introduction to CSS, Bootstrap And JavaScript concepts, PHP Programming Language Practically Getting Started With CSS Styles, CSS 2D Transform, CSS 3D Transform Bootstrap Crash course with bo

👍10

21 Jun 2022, 03:46 UTC≈24,500 views8 reactionsread 15 August 2026

(RE-POST) Google BigQuery & PostgreSQL : Big Query for Data Analysis Become BigQuery expert by mastering Google BigQuery for data analysis. Cover all SQL qureies in PostgeSQL & Big Query (11 hours of course) Knowledge of all the essential SQL commands in BigQuery and PostgreSQL Become proficient in SQL tools like GROUP BY, JOINS and Subqueries Become competent in using sorting and filtering commands in

👍62

21 Jun 2022, 03:46 UTC≈22,900 views12 reactionsread 15 August 2026

(Re-POST) Python Complete Course For Beginners This course is a depth introduction to both fundamental python programming concepts and the Python programming language. Getting Started,Variables,Values and Data Types, Operators and Operands, Function Calls Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts Coupon Link https://

👍7👎3🎉2

17 Jun 2022, 09:22 UTC≈23,000 views10 reactionsread 15 August 2026

TypeScript Basic: Type System, Interfaces, Types, Generics Learn basic of Typescript, Run Typescript + Webpack and Babel in 2 hour Understand the benefits of Type Safety and leverage them to build better programs Review of app configuration with Webpack + Babel TypeScript in a Nutshell - Generics, Interfaces, Types Project init, create configudations for TypeScript app Coupon Link https://bit.ly/3tH

👍10

17 Jun 2022, 03:57 UTC≈21,200 views6 reactionsread 15 August 2026

Free Alternatives to Microsoft Office Suite Learn alternative software How to use Libre office How to use Only office How to use Free office How to use Calligra office Coupon Link https://bit.ly/3N13C0i Dont forget to share our channel @freecoursee 📍Education That Matters📍

👍6

Showing the 12 most recent of 20 posts we hold for @freecoursee. 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 — 123,841 of 1,478,351entries 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

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 5 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Ultimate Freemium Courses” (@freecoursee), 21,976 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/freecoursee.

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.