Telegram RegisterThe public register of Telegram

Channel

SQL Programming Resources

@sqlanalyst

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

76,625subscribers

+69 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
TypeChannel
Username@sqlanalyst
DescriptionFind top SQL resources from global universities, cool projects, and learning materials for data analytics. Admin: @coderfun Useful links: heylink.me/DataAnalytics Promotions: @love_data
CreatedBetween 1 October 2022 and 30 September 2023— 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/sqlanalyst

Growth

76,55676,62576,590.56 August 2026 — 76,556 subscribers6 August 2026 — 76,560 subscribers7 August 2026 — 76,559 subscribers8 August 2026 — 76,567 subscribers9 August 2026 — 76,576 subscribers10 August 2026 — 76,602 subscribers11 August 2026 — 76,598 subscribers12 August 2026 — 76,625 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net +69. 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 76,546–76,635 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:5776,625+27
11 Aug 2026, 18:3476,598-4
10 Aug 2026, 20:3176,602+26
9 Aug 2026, 21:1276,576+9
8 Aug 2026, 19:3876,567+8
7 Aug 2026, 18:5276,559-1
6 Aug 2026, 20:4576,560+4
6 Aug 2026, 14:3776,556first reading

Engagement

39 posts held, back to 26 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.96%
avg views ÷ 76,625 subscribers
Avg views / post
1,500
39 posts measured
Reaction rate
0.251%
reactions ÷ views · ER floor
Posts in window
39
of 39 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 30 of 39 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 13 August 2026
Posts held39 (26 July 202613 August 2026)
Views total58,542
Reactions total124
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 07:16 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
596
Links
562

Lifetime counters from Telegram’s own channel header, read 13 August 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.

Reaction mix

124 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 97.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12197.6%
👏10.806%
🤔10.806%
🤣10.806%

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 30 of the 39 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 124reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 26 July 2026 to 13 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

13 Aug 2026, 03:55 UTC252 viewsread 13 August 2026
Photo

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11 Aug 2026, 15:23 UTC≈1,110 viewsread 13 August 2026
Photo

🚀 DATA ANALYTICS + AI: YOUR NEXT CAREER MOVE! Data is everywhere. The right skills can put you ahead. Join the PW Skills Data Analytics With AI Course and learn Excel, SQL, Python, Power BI & AI tools through live sessions and real-world projects. ✨ What you get: ✅ Industry-relevant Data Analytics skills ✅ AI-powered learning ✅ Microsoft collaboration ✅ Hands-on projects ✅ Job assistance* ✅ Live classes in Hinglish

11 Aug 2026, 11:13 UTC≈1,040 views5 reactionsread 13 August 2026

WITH ranked_videos AS ( SELECT video_title, category, views, ROW_NUMBER() OVER ( PARTITION BY category ORDER BY views DESC ) AS rn FROM videos ) SELECT video_title, category, views FROM ranked_videos WHERE rn = 1; 💡 Example 4: Calculate Channel Performance SELECT c.channel_name, COUNT(v.video_id) AS total_videos, SUM(v.vi

5

11 Aug 2026, 11:12 UTC768 viewsread 13 August 2026

🚀 SQL Project Series #33 YouTube Channel Analytics 📺 Analyze videos, creators, views, watch time, engagement, and subscriber growth using SQL to understand content performance and audience behavior. 🎯 Business Objectives ✅ Analyze video performance ✅ Track subscriber growth ✅ Measure audience engagement ✅ Identify top-performing content ✅ Compare video categories ✅ Analyze watch time ✅ Identify high-performing cr

11 Aug 2026, 06:55 UTC815 viewsread 13 August 2026
Photo

🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝟮𝟬𝟮𝟲 🎓 Want to upgrade your resume with Google skills and certifications Explore FREE learning opportunities and build in-demand skills for today's job market. 👉Artificial Intelligence & Generative AI 📊 Data Analytics ☁️ Cloud Computing 📢 Digital Marketing 🔐 Cybersecurity 💻 Tech & Career Skills 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- https://pdlink.in/4z9pdgf 🔥 Don't just collect certificates — bu

10 Aug 2026, 20:49 UTC895 views5 reactionsread 13 August 2026

🧠 SQL Concepts You'll Practice ✔ Joins ✔ GROUP BY ✔ HAVING ✔ CASE WHEN ✔ CTEs ✔ Subqueries ✔ Window Functions ✔ LAG() ✔ LEAD() ✔ Date Functions ✔ Conditional Aggregation 📊 Business KPIs You Can Build 📈 Monthly Recurring Revenue (MRR) 📈 Annual Recurring Revenue (ARR) 📈 Average Revenue Per User (ARPU) 📈 Customer Lifetime Value (CLV) 📈 Monthly Customer Churn Rate 📈 Revenue Churn Rate 📈 Customer Retent

5

10 Aug 2026, 20:49 UTC789 viewsread 13 August 2026

🚀 SQL Project Series #32 SaaS Subscription & Revenue Analytics 💻💰 Analyze subscriptions, plans, payments, upgrades, downgrades, and churn to understand how a SaaS business grows revenue and retains customers. 🎯 Business Objectives ✅ Analyze subscription growth ✅ Calculate MRR and ARR ✅ Track upgrades and downgrades ✅ Measure customer churn ✅ Analyze revenue by plan ✅ Calculate ARPU and CLV ✅ Identify high-v

10 Aug 2026, 13:45 UTC910 views1 reactionsread 13 August 2026
Photo

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1

10 Aug 2026, 08:30 UTC≈1,030 views2 reactionsread 13 August 2026

🎯 Key Insights You Can Derive 🔹 Which suppliers contribute the most to procurement spending? 🔹 Which suppliers frequently deliver late? 🔹 Which products have the highest price variance? 🔹 Which suppliers offer the most competitive prices? 🔹 Which products are purchased most frequently? 🔹 Where can procurement costs be reduced? 🔹 Which suppliers may represent supply-chain risk? This project is especially usefu

2

10 Aug 2026, 08:30 UTC912 views1 reactionsread 13 August 2026

🚀 SQL Project Series #31: Supply Chain & Procurement Analytics 🚚 Analyze suppliers, purchase orders, deliveries, procurement costs, and supplier performance using SQL to identify cost-saving opportunities and improve supply chain efficiency. 🎯 Business Objectives ✅ Analyze purchase orders ✅ Track supplier performance ✅ Measure procurement spending ✅ Identify delayed deliveries ✅ Analyze purchase costs ✅ Monit

1

10 Aug 2026, 05:05 UTC961 viewsread 13 August 2026
Photo

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9 Aug 2026, 06:37 UTC≈1,230 viewsread 13 August 2026
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Showing the 12 most recent of 39 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.

Citation-graph rank

Citation-graph rank — 164,783 of 1,160,990entries 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.

Mentions

Named by 8 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.

Computer Science and Programming
@computer_science_and_programming · 140,958
Telegram ranks this channel #49 of 87 here — alongside 86 others — read 13 August 2026
Linkedin Learning
@linkedin_learning · 218,161
Telegram ranks this channel #52 of 65 here — alongside 64 others — read 11 August 2026
Tricky Man
@Trickyman2 · 155,283
Telegram ranks this channel #56 of 57 here — alongside 56 others — read 12 August 2026
Great Learning Academy
@GreatLearningAcademy · 157,583
Telegram ranks this channel #70 of 83 here — alongside 82 others — read 12 August 2026
Coders World
@codersworld1 · 151,181
Telegram ranks this channel #77 of 83 here — alongside 82 others — read 12 August 2026
TheSanskaarSingh
@codeslearningTG · 269,931
Telegram ranks this channel #79 of 84 here — alongside 83 others — read 11 August 2026
TCW - AI & Coding Resources 🚀👨‍💻
@the_coding_wizard · 182,622
Telegram ranks this channel #81 of 89 here — alongside 88 others — read 12 August 2026
Seekeras
@seekeras · 230,811
Telegram ranks this channel #91 of 91 here — alongside 90 others — read 11 August 2026
job4freshers.co.in
@job4fresherss · 327,579
Telegram ranks this channel #92 of 92 here — alongside 91 others — read 10 August 2026

This channel appears in 9 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.

“SQL Programming Resources” (@sqlanalyst), 76,625 subscribers as measured 12 August 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.