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Channel

Data Analytics

@sqlspecialist

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

110,946subscribers

+300 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001759137927
TypeChannel
Username@sqlspecialist
DescriptionPerfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/sqlspecialist

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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

110,646110,946110,7966 August 2026 — 110,646 subscribers6 August 2026 — 110,646 subscribers7 August 2026 — 110,657 subscribers8 August 2026 — 110,673 subscribers9 August 2026 — 110,693 subscribers10 August 2026 — 110,695 subscribers11 August 2026 — 110,719 subscribers12 August 2026 — 110,725 subscribers13 August 2026 — 110,742 subscribers14 August 2026 — 110,748 subscribers16 August 2026 — 110,706 subscribers17 August 2026 — 110,721 subscribers18 August 2026 — 110,735 subscribers19 August 2026 — 110,741 subscribers20 August 2026 — 110,739 subscribers21 August 2026 — 110,764 subscribers22 August 2026 — 110,775 subscribers24 August 2026 — 110,732 subscribers25 August 2026 — 110,696 subscribers26 August 2026 — 110,701 subscribers27 August 2026 — 110,707 subscribers28 August 2026 — 110,714 subscribers29 August 2026 — 110,717 subscribers30 August 2026 — 110,734 subscribers31 August 2026 — 110,761 subscribers1 September 2026 — 110,767 subscribers2 September 2026 — 110,771 subscribers3 September 2026 — 110,829 subscribers5 September 2026 — 110,843 subscribers9 September 2026 — 110,872 subscribers11 September 2026 — 110,845 subscribers13 September 2026 — 110,843 subscribers14 September 2026 — 110,836 subscribers16 September 2026 — 110,840 subscribers25 September 2026 — 110,886 subscribers4 October 2026 — 110,946 subscribers6 August 20264 October 2026
36 measurements spanning 59 days, net +300. 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 110,601–110,991 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
4 Oct 2026, 06:16110,946+60
25 Sept 2026, 13:21110,886+46
16 Sept 2026, 15:38110,840+4
14 Sept 2026, 20:41110,836-7
13 Sept 2026, 10:40110,843-2
11 Sept 2026, 16:37110,845-27
9 Sept 2026, 05:57110,872+29
5 Sept 2026, 20:39110,843+14
3 Sept 2026, 15:36110,829+58
2 Sept 2026, 11:13110,771+4
1 Sept 2026, 08:15110,767+6
31 Aug 2026, 07:26110,761+27
30 Aug 2026, 08:17110,734+17
29 Aug 2026, 10:37110,717+3
28 Aug 2026, 08:18110,714+7
27 Aug 2026, 11:45110,707+6
26 Aug 2026, 12:42110,701+5
25 Aug 2026, 11:43110,696-36
24 Aug 2026, 12:12110,732-43
22 Aug 2026, 20:38110,775first reading

Engagement

183 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 128 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.48%
avg views ÷ 110,946 subscribers
Avg views / post
2,750
60 posts measured
Reaction rate
0.227%
reactions ÷ views · ER floor
Posts in window
60
of 183 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 51 of 60 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 4 October 2026
Posts held183 (25 July 2026 – 4 October 2026)
Views total165,010
Reactions total315
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Oct 2026, 02:02 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
221
Videos
1
Links
948

Lifetime counters from Telegram’s own channel header, read 7 October 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

1,111 reactions across 158 posts, in 8 distinct kinds. The most used accounts for 90.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,01090.9%
👍696.21%
😁121.08%
🔥90.81%
👎30.27%
👏30.27%
🥰30.27%
🎉20.18%

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 161 of the 183 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 1,111 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 183 most recent posts we hold, published 25 July 2026 to 4 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

4 Oct 2026, 19:00 UTC≈2,610 views17 reactionsread 7 October 2026

9️⃣ How would you calculate month-over-month growth? Sample Answer: “I would first retrieve the previous month's sales using LAG(), then calculate the percentage change between the current month and previous month.” SELECT Month, Sales, LAG(Sales) OVER (ORDER BY Month) AS Previous_Sales, (Sales - LAG(Sales) OVER (ORDER BY Month)) * 100.0 / LAG(Sales) OVER (ORDER BY Month) AS MoM_…

❤17

4 Oct 2026, 19:00 UTC≈2,140 views4 reactionsread 7 October 2026

📊 Data Analyst Interview Series — Part 3 Guys, let's continue our Data Analyst Interview Series. Today, let's cover 10 important SQL interview questions that test your practical SQL knowledge. 👇 1️⃣ What is a subquery in SQL? Sample Answer: “A subquery is a query written inside another SQL query. It can be used to retrieve intermediate results that are then used by the outer query. For example, to find employee…

❤4

29 Sept 2026, 21:26 UTC≈4,670 views16 reactionsread 7 October 2026

🔟 How would you find duplicate records in SQL? Sample Answer: "I would first identify the column or combination of columns that should uniquely identify a record. Then I would use GROUP BY and HAVING COUNT(*) > 1." SELECT Customer_ID, COUNT(*) AS Count_Records FROM Customers GROUP BY Customer_ID HAVING COUNT(*) > 1; "This identifies Customer_ID values that appear more than once. I would then investigate whether t…

❤16

29 Sept 2026, 21:26 UTC≈3,850 views6 reactionsread 7 October 2026

📊 Data Analyst Interview Series — Part 2 Guys, let's continue our Data Analyst Interview Series. In Part 2, let's move into some important SQL and data-related interview questions that are frequently tested in Data Analyst interviews. 👇 1️⃣ What is SQL and why is it important for a Data Analyst? Sample Answer: "SQL stands for Structured Query Language. It is used to interact with relational databases. As a Data …

❤6

29 Sept 2026, 15:41 UTC≈2,970 views2 reactionsread 7 October 2026
Photo

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❤2

29 Sept 2026, 07:18 UTC≈3,150 views13 reactionsread 7 October 2026

"After identifying duplicates, I investigate whether they are genuine duplicate records or legitimate repeated transactions before removing anything." 8️⃣ What is an outlier? How would you handle it? Sample Answer: "An outlier is a value that is significantly different from the typical observations in a dataset. I wouldn't automatically remove an outlier. First, I would investigate whether it represents a data-qu…

❤13

29 Sept 2026, 07:18 UTC≈2,010 views8 reactionsread 7 October 2026

📊 Data Analyst Interview Series — Part 1 Guys, let's start a Data Analyst Interview Series where I'll cover the most important questions that are commonly asked in Data Analyst interviews. I'll cover SQL, Excel, Power BI, Python, statistics, data cleaning, case studies, business questions, and scenario-based questions. Let's start with the basics 👇 1️⃣ Tell me about yourself. Sample Answer: "I'm a Data Analyst …

❤8

28 Sept 2026, 20:59 UTC≈1,890 views4 reactionsread 7 October 2026

This is much easier to maintain than repeatedly writing [Total Sales]. 🔹 12. Best Practices When writing complex DAX: ✔ Give variables meaningful names ✔ Break complicated calculations into logical steps ✔ Avoid repeating the same expression ✔ Use RETURN for the final result ✔ Keep business logic readable ✔ Use variables to make debugging easier Avoid meaningless names such as VAR X =... Prefer VAR TotalSales =...…

❤3👍1

28 Sept 2026, 20:58 UTC≈2,210 views4 reactionsread 7 October 2026

🚀 Data Analyst Roadmap — Part 30 POWER BI LEVEL 9 — DAX VARIABLES: VAR, RETURN & CLEANER DAX As DAX calculations become more complex, writing everything in one expression can make your measures difficult to understand and maintain. That's where VAR and RETURN become extremely useful. 🔹 1. What is VAR? VAR allows you to store the result of a calculation in a variable. Example: Profit = VAR Revenue = [Total Sales]…

❤4

28 Sept 2026, 16:18 UTC≈2,050 views1 reactionsread 7 October 2026
Photo

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❤1

27 Sept 2026, 20:01 UTC≈2,800 views8 reactionsread 7 October 2026

✅ SQL Interview Questions with Answers 1. What is a window function? A window function computes results over a group ("window") of rows related to the current row, without collapsing them (like GROUP BY). Examples: ROW_NUMBER(), RANK(), SUM() OVER(...) for running totals, rankings, or moving averages. 2. What is the difference between RANK() and ROW_NUMBER()? • ROW_NUMBER(): assigns unique sequential numbers to al…

❤8

27 Sept 2026, 05:46 UTC≈2,830 viewsread 7 October 2026
Photo

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Showing the 12 most recent of 183 posts we hold for @sqlspecialist. 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.

Polls

The 6 most recent of 8 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.

21 Sept 2026, 12:17 UTCAnonymous Quiz388 voters

What does the "X" in functions such as SUMX() and AVERAGEX() indicate?

  1. A) The function works only with Excel14%
  2. B) The function uses row-by-row iteration69%
  3. C) The function removes filters6%
  4. D) The function creates a relationship11%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Sept 2026, 12:17 UTCAnonymous Quiz362 voters

Which function would you use to calculate the average of a row-level expression?

  1. A) AVERAGE21%
  2. B) AVERAGEX55%
  3. C) AVGX18%
  4. D) MEANX6%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Sept 2026, 12:17 UTCAnonymous Quiz359 voters

What is the main difference between SUM() and SUMX()?

  1. A) SUM() works only with text1%
  2. B) SUMX() works only with dates5%
  3. C) SUM() aggregates a column, while SUMX() evaluates an expression row by row93%
  4. D) There is no difference1%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

21 Sept 2026, 12:17 UTCAnonymous Quiz334 voters

Which DAX function evaluates an expression row by row and then adds the results?

  1. A) SUM14%
  2. B) SUMX62%
  3. C) COUNT11%
  4. D) CALCULATE13%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

5 Sept 2026, 07:27 UTCAnonymous Quiz237 voters

You need to find the top 3 employees in each department. Which approach is most appropriate?

  1. A) GROUP BY Department only14%
  2. B) ORDER BY Salary DESC only10%
  3. C) RANK() OVER (PARTITION BY Department ORDER BY Salary DESC) followed by filtering73%
  4. D) AVG(Salary) OVER () only4%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

5 Sept 2026, 07:27 UTCAnonymous Quiz202 voters

Which function is most appropriate for comparing a row's value with the previous row?

  1. A) LEAD()19%
  2. B) LAG()38%
  3. C) RANK()37%
  4. D) NTILE()7%

Shares as published, totalling 101%. 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 183 most recent posts we hold, published 25 July 2026 to 4 October 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 21 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.

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@developersindiamain · 2,538
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@w_of_programming · 13,450
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@Sarcasticbott · 256
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Names

Channels on the register whose handles appear in this channel's posts.

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.

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#7
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#8
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#9
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#16
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#18
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#29
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#30
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#31
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@datasciencej · 8,310
#32
Startup & Business Ideas
@Learn_Startup · 33,129
#33
Data science/ML/AI
@datascience_bds · 14,018
#34
Data Analytics
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#35
Python Projects & Free Books
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#36
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#37
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#58
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 59,242
#59
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,980
#60
Generative AI
@generativeai_gpt · 30,965
#61
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 42,225
#62
AI - Artificial Intelligence
@aineeringdotcom · 16,044
#63
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,353
#64
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,612
#65
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,184
#66
AI and Machine Learning
@machine_learning_courses · 95,971
#67
Web Development
@webdev_trainings · 133,869
#68
Crypto Trends
@Bitcoin_Crypto_Web · 23,138
#69
Java Programming
@Java_Programming_Notes · 33,190
#70
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,122
#71
Ai Tools: ChatGPT, Midjourney, Deepseek
@OpenAI_Mastery · 50,215
#72
Learn JavaScript
@JavaScript_Trainings · 96,616
#73
Machine learning books and papers
@Machine_learn · 24,256
#74
Software Developer Jobs & IT Internships
@internshiptojobs · 48,471
#75
Remote Python Jobs: Find your dream remote Python job!
@remote_python_jobs · 4,990
#76
Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,453
#77
AI & Deep Learning
@deeplearning005 · 11,217
#78
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,410
#79
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,884
#80
Remote AI/ML/Data Science Jobs
@remote_ai_jobs · 8,329
#81
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,836
#82
AI Post — Artificial Intelligence
@aipost · 692,514
#83

Read from Telegram’s recommendation API, most recently 14 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.

Data Science & Machine Learning Free Resources
@datascience69 · 20,473
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 27 September 2026
Python Interviews
@PythonInterviews · 28,950
Telegram ranks this channel #1 of 86 here — alongside 85 others — read 9 September 2026
Power BI & Tableau Resources
@PowerBI_analyst · 55,897
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 23 August 2026
SQL Programming Resources
@sqlanalyst · 76,726
Telegram ranks this channel #1 of 85 here — alongside 84 others — read 19 August 2026
Data Analyst Jobs
@jobs_SQL · 91,352
Telegram ranks this channel #1 of 86 here — alongside 85 others — read 17 August 2026
Analyticxhub
@analyticxhub · 20,112
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 28 September 2026
PrepNPlaced
@dataanalyticsbuddy · 26,916
Telegram ranks this channel #2 of 88 here — alongside 87 others — read 11 September 2026
Python for Data Analysts
@pythonanalyst · 51,785
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 24 August 2026
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,280
Telegram ranks this channel #2 of 83 here — alongside 82 others — read 24 August 2026
MS Excel for Data Analysis
@excel_analyst · 73,068
Telegram ranks this channel #2 of 84 here — alongside 83 others — read 20 August 2026
Job Interview Preparation - Remote Work
@jobinterviewsprep · 27,660
Telegram ranks this channel #3 of 72 here — alongside 71 others — read 10 September 2026
CloudyML - Data Science & Analytics
@cloudymlofficial · 47,467
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 26 August 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,555
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 24 August 2026
Data Science Projects
@pythonspecialist · 56,383
Telegram ranks this channel #3 of 89 here — alongside 88 others — read 23 August 2026
Python Projects & Resources
@pythondevelopersindia · 63,484
Telegram ranks this channel #3 of 86 here — alongside 85 others — read 21 August 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,662
Telegram ranks this channel #4 of 86 here — alongside 85 others — read 10 September 2026
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,673
Telegram ranks this channel #4 of 84 here — alongside 83 others — read 30 August 2026
Thedataschoool
@thedataschoool · 42,432
Telegram ranks this channel #4 of 85 here — alongside 84 others — read 29 August 2026
Python Programming Books
@dsabooks · 59,152
Telegram ranks this channel #4 of 89 here — alongside 88 others — read 22 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,525
Telegram ranks this channel #4 of 88 here — alongside 87 others — read 20 August 2026
Data Science & Machine Learning
@datasciencefun · 77,686
Telegram ranks this channel #4 of 85 here — alongside 84 others — read 19 August 2026
Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,642
Telegram ranks this channel #5 of 78 here — alongside 77 others — read 30 September 2026
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 38,029
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 31 August 2026
Data Science
@sql_databases · 70,807
Telegram ranks this channel #5 of 73 here — alongside 72 others — read 20 August 2026

This channel appears in 140 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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Data Analytics” (@sqlspecialist), 110,946 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/sqlspecialist.

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.