📊 Excel Formulas — Part 8 This part focuses on Advanced Calculation Functions — useful for working with filtered data, multiple calculations, and large datasets. 1️⃣ SUBTOTAL Performs calculations while respecting filtered or hidden rows depending on the function number. =SUBTOTAL(9,B2:B100) Here, 9 means SUM. Common function numbers: 1 → AVERAGE 2 → COUNT 3 → COUNTA 9 → SUM 4 → MAX 5 → MIN 💡 Very useful…

Channel
MS Excel for Data Analysis
@excel_analyst
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
72,836subscribers
+748 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 | -1001507875929 |
|---|---|
| Type | Channel |
| Username | @excel_analyst |
| Description | ✅ Learn Basic & Advaced Ms Excel concepts for data analysis ✅ Learn Tips & Tricks Used in Excel ✅ Become An Expert ✅ Use The Skills Learnt Here In Your Career For promotions: @love_data |
| Created | Between 1 July 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/excel_analyst |
Topic
Job listings — 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 21 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 17:40 | 72,836 | +133 |
| 19 Sept 2026, 12:55 | 72,703 | +55 |
| 16 Sept 2026, 21:59 | 72,648 | +31 |
| 15 Sept 2026, 00:17 | 72,617 | +27 |
| 13 Sept 2026, 11:56 | 72,590 | +30 |
| 11 Sept 2026, 15:19 | 72,560 | +5 |
| 9 Sept 2026, 01:18 | 72,555 | +27 |
| 5 Sept 2026, 18:20 | 72,528 | +23 |
| 3 Sept 2026, 17:37 | 72,505 | +39 |
| 2 Sept 2026, 10:04 | 72,466 | +7 |
| 1 Sept 2026, 07:15 | 72,459 | +10 |
| 31 Aug 2026, 08:02 | 72,449 | +35 |
| 30 Aug 2026, 05:03 | 72,414 | +22 |
| 29 Aug 2026, 08:12 | 72,392 | +11 |
| 28 Aug 2026, 08:37 | 72,381 | +9 |
| 27 Aug 2026, 05:54 | 72,372 | +8 |
| 26 Aug 2026, 08:26 | 72,364 | +30 |
| 25 Aug 2026, 05:53 | 72,334 | -9 |
| 24 Aug 2026, 08:23 | 72,343 | -31 |
| 22 Aug 2026, 18:18 | 72,374 | first reading |
Engagement
111 posts held, back to 28 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 106 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.21%
- avg views ÷ 72,836 subscribers
- Avg views / post
- 2,340
- 45 posts measured
- Reaction rate
- 0.3%
- reactions ÷ views · ER floor
- Posts in window
- 45
- of 111 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 40 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 111 (28 July 2026 – 26 September 2026) |
| Views total | 105,171 |
| Reactions total | 285 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:16 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
- 451
- Videos
- 2
- Links
- 509
Lifetime counters from Telegram’s own channel header, read 27 September 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
607 reactions across 91 posts, in 6 distinct kinds. The most used accounts for 93.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 567 | 93.4% | |
| 👍 | 31 | 5.11% | |
| 👏 | 5 | 0.824% | |
| 🥰 | 2 | 0.329% | |
| 👎 | 1 | 0.165% | |
| 💋 | 1 | 0.165% |
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 95 of the 111 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 607 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 111 most recent posts we hold, published 28 July 2026 to 26 September 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
🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜! 📊 Explore these 4 Google learning programs and develop practical, career-relevant skills. 🎓 Explore the programs: 1️⃣ Google Data Analytics Professional Certificate 2️⃣ Google Business Intelligence Professional Certificate 3️⃣ Google AI Essentials 4️⃣ Google Advanced Data Analytics Professional Certificate 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:- https://pdlink.in/4htgIEW …
❤2
Excel Shortcuts
❤7
📊 Excel Formulas — Part 6 This part focuses on Date & Time formulas — essential for reporting, deadlines, ageing analysis, trends, and time-based calculations. 1️⃣ TODAY Returns the current date. =TODAY() • Example: Automatically display today's date. 2️⃣ NOW Returns the current date and time. =NOW() • Example: Track when a workbook was last recalculated. 3️⃣ DATE Creates a date from year, month, and day. …
❤16
🚀 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐢𝐧 𝟐𝟎𝟐𝟔 🎯 Choose Your Learning Track: 💻 Java Full Stack + AI Engineering 🌐 MERN Full Stack + AI Engineering Placement Highlights: ₹41 LPA highest package | ₹7.4 LPA average package | 2,000+ students placed | 500+ hiring partners 🔗 𝗕𝗼𝗼𝗸 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼 𝗖𝗹𝗮𝘀𝘀 :- https://pdlink.in/4fWJVID ⚡ AI is creating new career opportunities—start building the skills companies need in 2026!
❤3
🎯 GigaChat 3.5 Reasoning: 5 Key Features 1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct 2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps 3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch 4️⃣ Token Economy: Uses 37% few…
❤2
📊 Excel Formulas — Part 5 This part focuses on Text Functions — essential for cleaning, extracting, and combining text in Excel. 1️⃣ LEFT Extracts characters from the beginning of a text. =LEFT(A2,5) Example: INDIA123 → INDIA 2️⃣ RIGHT Extracts characters from the end of a text. =RIGHT(A2,3) Example: INV123 → 123 3️⃣ MID Extracts characters from the middle of a text. =MID(A2,4,5) Example: EMP-12345 → …
❤16👍1
🚀 𝗧𝗼𝗽 𝟳 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊 Want to start a career in Data Analytics? Explore these 7 free Microsoft-backed learning resources covering Power BI, Excel, SQL and data fundamentals 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇 https://pdlink.in/3Tm2D3Z 💡 Ideal for students, freshers and professionals who want to build practical data skills.
❤1
🎓 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀! 🚀 Explore free online learning opportunities from Stanford University across technology, business and more! 💻 Tech & Programming 🤖 Artificial Intelligence & Data Science 💼 Business & Entrepreneurship 💡 Leadership & Innovation 🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇 https://pdlink.in/4hlnZGw 🎯 Great for students, freshers and working professionals looking to expand their knowledge.
❤1
📊 Excel Formulas — Part 4 This part focuses on Lookup formulas — essential when you need to find information from another table. 1️⃣ XLOOKUP Searches for a value and returns the corresponding result. =XLOOKUP(A2,E2:E10,F2:F10,"Not Found") Example: Find an employee's department using their Employee ID. Why it's useful: • Can look left or right • Exact match by default • Can return a custom result when nothing…
❤13
𝗙𝗥𝗘𝗘 𝗔𝗜 𝗖𝗮𝗿𝗲𝗲𝗿 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 🚀 Join this expert-led masterclass and discover how to become industry-ready for high-growth AI roles. 📅 Date: 24 September 2026 ⏰ Time: 7:00 PM–9:00 PM IST 🌐 Mode: Online 🎓 Certificate: Available to all attendees Eligibility :- Graduates Passing In 2025 or earlier 🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇 https://pdlink.in/4xAMeGW ⚡ Register now and take your first step towards a successful career in AI
❤1
📊 Excel Formulas — Part 3 Conditional Calculations This part focuses on conditional calculations — extremely useful when working with real-world datasets. 1️⃣ SUMIF Adds values that meet one condition. =SUMIF(A2:A10,"Sales",B2:B10) Example: Add sales only for rows where the category is Sales. 2️⃣ SUMIFS Adds values based on multiple conditions. =SUMIFS(C2:C10,A2:A10,"East",B2:B10,"Laptop") Example: Calculate …
❤14👍1
Showing the 12 most recent of 111 posts we hold for @excel_analyst. 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.
Mentions
Named by 11 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 · 53,26223 postsMachine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,43410 postsGoogle Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,89010 postsCoding & AI Resources
@leadcoding · 35,44410 postsFreelancing Tips: Earn Money Online
@freelancing_upwork · 22,3668 postsBest AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,4704 postsData Engineers
@sql_engineer · 11,1263 postsAlgorithms and Data structure
@Algorithm_s1 · 261 postCoding Interview Resources
@crackingthecodinginterview · 52,2321 postData Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,5461 postDevelopers India 🇮🇳
@developersindiamain · 2,5511 post
Names
Channels on the register whose handles appear in this channel's posts.
@Bitcoin_Crypto_Web · 23,1941 postData Science & Machine Learning
@datasciencefun · 77,5801 postPython Programming Books
@dsabooks · 59,1371 postLearn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,6001 postFree Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,6001 postGenerative AI
@generativeai_gpt · 30,8681 postJava Programming
@Java_Programming_Notes · 33,2751 postWeb Development - HTML, CSS & JavaScript
@javascript_courses · 55,6981 postData Analyst Jobs
@jobs_SQL · 91,4211 postArtificial Intelligence
@machinelearning_deeplearning · 55,7941 postMaczo Official
@maczo_official_global · 88,3931 postWeb 3 & NFT
@sales · 7,0301 postData Engineers
@sql_engineer · 11,1261 postSQL Programming Resources
@sqlanalyst · 76,6751 postWeb Development
@webdevcoursefree · 79,5781 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.
@sqlanalyst · 76,675#1
@sqlspecialist · 110,886#2
@PowerBI_analyst · 55,842#3
@learndataanalysis · 53,262#4
@pythonspecialist · 56,321#5
@datasciencefun · 77,580#6
@dataanalystinterview · 52,609#7
@pythonanalyst · 51,857#8
@dsabooks · 59,137#9
@sqlproject · 39,680#10
@pythondevelopersindia · 63,430#11
@learngpt · 38,216#12
@DataPortfolio · 38,028#13
@programming_guide · 56,038#14
@codingfreebooks · 32,555#15
@Python53 · 50,715#16
@MachineLearning9 · 41,424#17
@Data_Visual · 27,546#18
@aijobss · 13,777#19
@pythonfreebootcamp · 40,776#20
@data_visualization_bds · 6,314#21
@DataAnalyticsX · 30,208#22
@leadcoding · 35,444#23
@thinkbroadly · 6,763#24
@datascience_bds · 13,926#25
@datamindscape · 5,184#26
@ml_ds_ai_jobs · 25,932#27
@jobs_SQL · 91,421#28
@datasciencefree · 68,434#29
@AI_Best_Tools · 58,470#30
@udemy_free_courses_with_certi · 70,681#31
@machinelearning_deeplearning · 55,794#32
@sql_engineer · 11,126#33
@webdevcoursefree · 79,578#34
@DataScienceInterviews · 27,673#35
@Programming_experts · 67,682#36
@stockmarketinginsights · 25,970#37
@javascript_courses · 55,698#38
@crackingthecodinginterview · 52,232#39
@linkedin_learning · 217,924#40
@aiindi · 58,966#41
@LearnPython3 · 125,222#42
@aineeringdotcom · 16,029#43
@powerbi_sql_analyst · 6,794#44
@sql_databases · 70,599#45
@Learn_Startup · 32,970#46
@Finance_Stock_Trading · 23,207#47
@InterviewBooks · 40,516#48
@PythonInterviews · 28,969#49
@CodeProgrammer · 68,301#50
@webdevelopmentbook · 32,466#51
@Java_Programming_Notes · 33,275#52
@PaperNexus · 33,858#53
@Learn_Business_101 · 52,476#54
@datasciencej · 8,316#55
@webdev_trainings · 133,855#56
@DataAnalyticsJob · 13,015#57
@Jobs204 · 22,576#58
@pythonRe · 40,364#59
@AlwaysFreeUdemyCourses · 18,460#60
@FAANGJob · 26,890#61
@Machine_learn · 24,295#62
@ainews_daily · 3,926#63
@jobinterviewsprep · 27,626#64
@JavaScript_Trainings · 96,712#65
@CAstudyzone · 185#66
@AWS_GCP_Azure · 5,465#67
@getjobss · 113,437#68
@Curiousprogrammer · 42,238#69
@englishlearnerspro · 41,600#70
@trueminds · 27,344#71
@generativeai_gpt · 30,868#72
@BestFinanceBooks · 25,148#73
@internshiptojobs · 48,447#74
@Bitcoin_Crypto_Web · 23,194#75
@OpenAI_Mastery · 50,064#76
@machine_learning_courses · 95,724#77
@the_programming_girls · 30,491#78
@ProgramsStore · 15,417#79
@HealthFitnessGymTips · 19,780#80
@digitalmarketing_trick · 22,264#81
@aipost · 700,241#82
@remote_python_jobs · 4,955#83
@deeplearning005 · 11,155#84
Read from Telegram’s recommendation API, most recently 20 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.
@PowerBI_analyst · 55,842
Telegram ranks this channel #2 of 84 here — alongside 83 others — read 23 August 2026
@sqlanalyst · 76,675
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 19 August 2026
@sqlspecialist · 110,886
Telegram ranks this channel #3 of 83 here — alongside 82 others — read 14 August 2026
@learndataanalysis · 53,262
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 24 August 2026
@dataanalystinterview · 52,609
Telegram ranks this channel #6 of 85 here — alongside 84 others — read 24 August 2026
@Data_Visual · 27,546
Telegram ranks this channel #8 of 83 here — alongside 82 others — read 10 September 2026
@pythonanalyst · 51,857
Telegram ranks this channel #8 of 82 here — alongside 81 others — read 24 August 2026
@datasciencefun · 77,580
Telegram ranks this channel #8 of 85 here — alongside 84 others — read 19 August 2026
@sqlproject · 39,680
Telegram ranks this channel #9 of 84 here — alongside 83 others — read 30 August 2026
@thedataschoool · 42,192
Telegram ranks this channel #9 of 85 here — alongside 84 others — read 29 August 2026
@pythonspecialist · 56,321
Telegram ranks this channel #9 of 89 here — alongside 88 others — read 23 August 2026
@dsabooks · 59,137
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 22 August 2026
@codingfreebooks · 32,555
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 5 September 2026
@DataPortfolio · 38,028
Telegram ranks this channel #16 of 83 here — alongside 82 others — read 31 August 2026
@Finance_Stock_Trading · 23,207
Telegram ranks this channel #17 of 80 here — alongside 79 others — read 19 September 2026
@learngpt · 38,216
Telegram ranks this channel #19 of 79 here — alongside 78 others — read 31 August 2026
@programming_guide · 56,038
Telegram ranks this channel #19 of 84 here — alongside 83 others — read 23 August 2026
@pythondevelopersindia · 63,430
Telegram ranks this channel #19 of 86 here — alongside 85 others — read 21 August 2026
@leadcoding · 35,444
Telegram ranks this channel #23 of 79 here — alongside 78 others — read 2 September 2026
@stockmarketinginsights · 25,970
Telegram ranks this channel #25 of 78 here — alongside 77 others — read 13 September 2026
@GreatLearningAcademy · 154,950
Telegram ranks this channel #25 of 83 here — alongside 82 others — read 12 August 2026
@jobs_SQL · 91,421
Telegram ranks this channel #27 of 86 here — alongside 85 others — read 17 August 2026
@pythonfreebootcamp · 40,776
Telegram ranks this channel #28 of 78 here — alongside 77 others — read 30 August 2026
@FAANGJob · 26,890
Telegram ranks this channel #30 of 76 here — alongside 75 others — read 11 September 2026
This channel appears in 83 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“MS Excel for Data Analysis” (@excel_analyst), 72,836 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/excel_analyst.
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.