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Channel
SQL Programming Resources
@sqlanalyst
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry
76,312subscribers
-244 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 | -1001867793926 |
|---|---|
| Type | Channel |
| Username | @sqlanalyst |
| Description | Find top SQL resources from global universities, cool projects, and learning materials for data analytics. Admin: @coderfun Useful links: heylink.me/DataAnalytics Promotions: @love_data |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/sqlanalyst |
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 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 17:11 | 76,312 | -16 |
| 9 Nov 2026, 20:27 | 76,328 | -30 |
| 8 Nov 2026, 09:08 | 76,358 | -38 |
| 7 Nov 2026, 00:38 | 76,396 | -31 |
| 5 Nov 2026, 23:16 | 76,427 | -26 |
| 4 Nov 2026, 22:38 | 76,453 | -16 |
| 3 Nov 2026, 21:08 | 76,469 | -3 |
| 2 Nov 2026, 22:55 | 76,472 | -4 |
| 1 Nov 2026, 20:46 | 76,476 | +1 |
| 31 Oct 2026, 21:10 | 76,475 | -11 |
| 30 Oct 2026, 23:06 | 76,486 | -9 |
| 29 Oct 2026, 21:48 | 76,495 | -18 |
| 28 Oct 2026, 22:10 | 76,513 | -16 |
| 28 Oct 2026, 00:05 | 76,529 | -4 |
| 27 Oct 2026, 02:45 | 76,533 | -15 |
| 26 Oct 2026, 04:20 | 76,548 | -12 |
| 25 Oct 2026, 07:45 | 76,560 | -13 |
| 24 Oct 2026, 05:57 | 76,573 | -20 |
| 23 Oct 2026, 08:56 | 76,593 | -4 |
| 22 Oct 2026, 05:38 | 76,597 | first reading |
Engagement
243 posts held, back to 26 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 197 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.55%
- avg views ÷ 76,312 subscribers
- Avg views / post
- 1,940
- 42 posts measured
- Reaction rate
- 0.278%
- reactions ÷ views · ER floor
- Posts in window
- 42
- of 243 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 24 of 42 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 243 (26 July 2026 – 11 November 2026) |
| Views total | 81,599 |
| Reactions total | 121 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 19:47 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
- 619
- Videos
- 1
- Links
- 582
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- 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
674 reactions across 160 posts, in 7 distinct kinds. The most used accounts for 95.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 646 | 95.8% | |
| 👍 | 15 | 2.23% | |
| 👏 | 6 | 0.89% | |
| 🤣 | 3 | 0.445% | |
| 🎉 | 2 | 0.297% | |
| 😍 | 1 | 0.148% | |
| 🤔 | 1 | 0.148% |
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 166 of the 243 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 674 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 243 most recent posts we hold, published 26 July 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 4 of 42 posts held from the last 30 days (9.52%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Showing the 12 most recent of 243 posts we hold for @sqlanalyst. 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 recorded as deleted after publishing
We recorded 1 post on @sqlanalyst as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 15 September 2026
- Most recent seen missing
- 15 September 2026
- Median time before seen missing
- 8 days
- Seen missing in the last 30 days
- 0
Polls
The 6 most recent of 14 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
What happens when you use an INNER JOIN?
- A) All rows from the left table are returned10%
- B) All rows from both tables are returned26%
- C) Only matching rows from both tables are returned63%
- D) Only unmatched rows are returned1%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which window function gives the previous row's value?
- A) LEAD()18%
- B) LAG()50%
- C) RANK()13%
- D) ROW_NUMBER()19%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Which clause is evaluated to filter rows before GROUP BY?
- A) HAVING24%
- B) WHERE63%
- C) ORDER BY10%
- D) DISTINCT4%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
What does DISTINCT do?
- A) Sorts data5%
- B) Removes duplicate rows from the selected result90%
- C) Removes NULL values5%
- D) Groups data permanently0%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
What does COUNT(*) count?
- A) Only non-NULL values6%
- B) Only unique rows9%
- C) All rows76%
- D) Only rows containing numeric values10%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
What is the key difference between UNION and UNION ALL?
- A) UNION sorts data, UNION ALL doesn't10%
- B) UNION removes duplicates, UNION ALL keeps duplicates71%
- C) UNION works with tables, UNION ALL works with views16%
- D) There is no difference3%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 243 most recent posts we hold, published 26 July 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 15 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.
@learndataanalysis · 53,25018 postsMachine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,65113 postsGoogle Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,85910 postsCoding & AI Resources
@leadcoding · 35,18110 postsBest AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 60,0077 postsProgramming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 55,7317 postsMS Excel for Data Analysis
@excel_analyst · 73,3456 postsFreelancing Tips: Earn Money Online
@freelancing_upwork · 22,3854 postsData Engineers
@sql_engineer · 11,2833 postsCoding Interview Resources
@crackingthecodinginterview · 51,8882 postsPython Projects & Resources
@pythondevelopersindia · 63,3262 postsAlgorithms and Data structure
@Algorithm_s1 · 241 postData Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,3871 postCoding Projects
@Programming_experts · 67,9401 postThe World Of Programming
@w_of_programming · 13,0971 post
Names
Channels on the register whose handles appear in this channel's posts.
@free4unow_backup · 74,2722 postsData Analytics
@sqlspecialist · 110,3702 postsData Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,3871 postData Science & Machine Learning
@datasciencefun · 77,6811 postMicrosoft Excel for Finance & Data Analytics
@excel_data · 10,6821 postPython Projects & Resources
@pythondevelopersindia · 63,3261 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@sqlspecialist · 110,370#1
@jobs_SQL · 90,993#2
@excel_analyst · 73,345#3
@learndataanalysis · 53,250#4
@dsabooks · 59,013#5
@dataanalystinterview · 52,191#6
@machinelearning_deeplearning · 56,702#7
@pythonanalyst · 51,486#8
@Programming_experts · 67,940#9
@pythondevelopersindia · 63,326#10
@sqlproject · 39,501#11
@DataPortfolio · 37,776#12
@crackingthecodinginterview · 51,888#13
@programming_guide · 55,731#14
@MachineLearning9 · 41,912#15
@learngpt · 38,988#16
@InterviewBooks · 40,355#17
@sql_databases · 70,688#18
@Java_Programming_Notes · 32,908#19
@data_visualization_bds · 6,274#20
@DataAnalyticsX · 30,880#21
@Data_Visual · 27,387#22
@leadcoding · 35,181#23
@datasciencefree · 68,651#24
@PowerBI_analyst · 55,653#25
@pythonspecialist · 56,410#26
@datasciencefun · 77,681#27
@webdevcoursefree · 79,280#28
@udemy_free_courses_with_certi · 70,296#29
@sql_engineer · 11,283#30
@AI_Best_Tools · 60,007#31
@javascript_courses · 55,621#32
@Curiousprogrammer · 41,965#33
@aineeringdotcom · 16,061#34
@LearnPython3 · 125,047#35
@linkedin_learning · 216,619#36
@DataScienceInterviews · 27,525#37
@Python53 · 51,271#38
@PaperNexus · 34,354#39
@stockmarketinginsights · 25,908#40
@datasciencej · 8,293#41
@aiindi · 60,232#42
@CodeProgrammer · 68,478#43
@codingfreebooks · 32,483#44
@generativeai_gpt · 31,030#45
@JavaScript_Trainings · 96,124#46
@Jobs204 · 23,243#47
@webdev_trainings · 133,569#48
@Finance_Stock_Trading · 23,020#49
@Learn_Startup · 33,080#50
@pythonRe · 40,892#51
@webdevelopmentbook · 32,464#52
@datascience_bds · 14,046#53
@aijobss · 14,125#54
@pythonfreebootcamp · 40,266#55
@PythonInterviews · 28,729#56
@Bitcoin_Crypto_Web · 22,967#57
@AlwaysFreeUdemyCourses · 18,224#58
@Learn_Business_101 · 53,376#59
@DataAnalyticsJob · 12,860#60
@powerbi_sql_analyst · 6,782#61
@machine_learning_courses · 96,444#62
@ApacheSparkDevelopers · 7,893#63
@ml_ds_ai_jobs · 25,720#64
@coding_interview_preparation · 5,852#65
@ainews_daily · 4,068#66
@the_programming_girls · 30,242#67
@AWS_GCP_Azure · 5,752#68
@FAANGJob · 26,859#69
@CdiNotes · 19,205#70
@web_dev_bds · 4,433#71
@Machine_learn · 24,035#72
@jobinterviewsprep · 27,631#73
@getjobss · 112,923#74
@trueminds · 27,256#75
@englishlearnerspro · 41,472#76
@OpenAI_Mastery · 50,408#77
@internshiptojobs · 48,365#78
@BestFinanceBooks · 25,065#79
@ProgramsStore · 15,144#80
@HealthFitnessGymTips · 19,807#81
@DevopsDoc · 9,767#82
@remote_python_jobs · 5,075#83
@github_repositories_bds · 11,215#84
@aipost · 665,959#85
Read from Telegram’s recommendation API, most recently 19 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@pythonanalyst · 51,486
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 24 August 2026
@learndataanalysis · 53,250
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 24 August 2026
@excel_analyst · 73,345
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 20 August 2026
@sqlspecialist · 110,370
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 14 August 2026
@dataanalystinterview · 52,191
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 24 August 2026
@jobs_SQL · 90,993
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 17 August 2026
@sqlproject · 39,501
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 30 August 2026
@InterviewBooks · 40,355
Telegram ranks this channel #3 of 78 here — alongside 77 others — read 30 August 2026
@dsabooks · 59,013
Telegram ranks this channel #3 of 89 here — alongside 88 others — read 22 August 2026
@DataPortfolio · 37,776
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 31 August 2026
@pythondevelopersindia · 63,326
Telegram ranks this channel #4 of 86 here — alongside 85 others — read 21 August 2026
@machinelearning_deeplearning · 56,702
Telegram ranks this channel #5 of 86 here — alongside 85 others — read 23 August 2026
@leadcoding · 35,181
Telegram ranks this channel #6 of 79 here — alongside 78 others — read 2 September 2026
@sql_databases · 70,688
Telegram ranks this channel #7 of 73 here — alongside 72 others — read 20 August 2026
@free4unow_backup · 74,272
Telegram ranks this channel #8 of 78 here — alongside 77 others — read 30 September 2026
@programming_guide · 55,731
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 23 August 2026
@Programming_experts · 67,940
Telegram ranks this channel #9 of 84 here — alongside 83 others — read 20 August 2026
@Finance_Stock_Trading · 23,020
Telegram ranks this channel #10 of 80 here — alongside 79 others — read 19 September 2026
@shubham_wadekar_jobs · 24,372
Telegram ranks this channel #10 of 93 here — alongside 92 others — read 15 September 2026
@crackingthecodinginterview · 51,888
Telegram ranks this channel #10 of 83 here — alongside 82 others — read 24 August 2026
@Data_Visual · 27,387
Telegram ranks this channel #12 of 83 here — alongside 82 others — read 10 September 2026
@thedataschoool · 42,255
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 29 August 2026
@MachineLearning9 · 41,912
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 30 August 2026
@learngpt · 38,988
Telegram ranks this channel #17 of 79 here — alongside 78 others — read 31 August 2026
This channel appears in 141 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“SQL Programming Resources” (@sqlanalyst), 76,312 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/sqlanalyst.
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.