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Channel

Power BI & Tableau Resources

@PowerBI_analyst

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

55,789subscribers

-49 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-1001926764027
TypeChannel
Username@PowerBI_analyst
Description🆓 Resources to learn Power BI, Tableau & Data Visualisation Perfect channel to start learning everything about Data Analytics Admin: @coderfun
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/PowerBI_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 70% 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

55,78955,93255,860.56 August 2026 — 55,838 subscribers6 August 2026 — 55,838 subscribers6 August 2026 — 55,834 subscribers7 August 2026 — 55,831 subscribers8 August 2026 — 55,821 subscribers9 August 2026 — 55,837 subscribers10 August 2026 — 55,868 subscribers11 August 2026 — 55,874 subscribers12 August 2026 — 55,883 subscribers14 August 2026 — 55,895 subscribers15 August 2026 — 55,901 subscribers16 August 2026 — 55,883 subscribers17 August 2026 — 55,895 subscribers18 August 2026 — 55,909 subscribers19 August 2026 — 55,908 subscribers21 August 2026 — 55,924 subscribers22 August 2026 — 55,932 subscribers24 August 2026 — 55,914 subscribers25 August 2026 — 55,897 subscribers26 August 2026 — 55,898 subscribers27 August 2026 — 55,886 subscribers27 August 2026 — 55,875 subscribers29 August 2026 — 55,876 subscribers30 August 2026 — 55,896 subscribers31 August 2026 — 55,907 subscribers1 September 2026 — 55,921 subscribers2 September 2026 — 55,914 subscribers3 September 2026 — 55,910 subscribers5 September 2026 — 55,914 subscribers8 September 2026 — 55,862 subscribers11 September 2026 — 55,858 subscribers13 September 2026 — 55,849 subscribers14 September 2026 — 55,847 subscribers16 September 2026 — 55,840 subscribers18 September 2026 — 55,842 subscribers2 October 2026 — 55,848 subscribers7 October 2026 — 55,897 subscribers11 October 2026 — 55,868 subscribers14 October 2026 — 55,850 subscribers15 October 2026 — 55,873 subscribers16 October 2026 — 55,865 subscribers18 October 2026 — 55,872 subscribers19 October 2026 — 55,852 subscribers20 October 2026 — 55,842 subscribers21 October 2026 — 55,836 subscribers22 October 2026 — 55,829 subscribers23 October 2026 — 55,814 subscribers24 October 2026 — 55,800 subscribers25 October 2026 — 55,789 subscribers6 August 202625 October 2026
49 measurements spanning 80 days, net -49. 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 55,768–55,953 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
25 Oct 2026, 18:0955,789-11
24 Oct 2026, 15:0555,800-14
23 Oct 2026, 16:2755,814-15
22 Oct 2026, 18:5755,829-7
21 Oct 2026, 11:4155,836-6
20 Oct 2026, 10:0655,842-10
19 Oct 2026, 11:1755,852-20
18 Oct 2026, 10:2055,872+7
16 Oct 2026, 07:2655,865-8
15 Oct 2026, 04:0555,873+23
14 Oct 2026, 03:5055,850-18
11 Oct 2026, 19:2055,868-29
7 Oct 2026, 05:2155,897+49
2 Oct 2026, 07:5755,848+6
18 Sept 2026, 10:5955,842+2
16 Sept 2026, 05:2155,840-7
14 Sept 2026, 15:2055,847-2
13 Sept 2026, 03:1955,849-9
11 Sept 2026, 04:1955,858-4
8 Sept 2026, 10:1855,862first reading

Engagement

168 posts held, back to 31 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 163 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.20%
avg views ÷ 55,789 subscribers
Avg views / post
1,230
42 posts measured
Reaction rate
0.253%
reactions ÷ views · ER floor
Posts in window
42
of 168 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 October 2026
Posts held168 (31 July 2026 – 24 October 2026)
Views total51,609
Reactions total79
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 21:59 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
388
Links
593

Lifetime counters from Telegram’s own channel header, read 25 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.

Reaction mix

331 reactions across 95 posts, in 4 distinct kinds. The most used accounts for 95.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤31795.8%
🔥72.11%
👍61.81%
👏10.302%

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 99 of the 168 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 331 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 168 most recent posts we hold, published 31 July 2026 to 24 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

24 Oct 2026, 07:52 UTC616 viewsread 25 October 2026
Photo

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21 Oct 2026, 16:19 UTC≈1,090 views3 reactionsread 25 October 2026
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❤3

20 Oct 2026, 08:27 UTC≈1,340 views1 reactionsread 25 October 2026
Photo

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❤1

19 Oct 2026, 10:34 UTC≈1,280 views4 reactionsread 25 October 2026

Mistake 4: Not testing the function Always test your function with a few inputs before applying it to hundreds of files. 🧪 Practical Exercise Create a simple function that calculates profit margin. Use: • Sales • Cost Formula: (Sales - Cost) / Sales For example: Sales = ₹10,000 Cost = ₹7,000 Profit Margin: (10000 - 7000) / 10000 = 0.30 = 30% Then test your function with different Sales and Cost values…

❤4

19 Oct 2026, 10:34 UTC769 views2 reactionsread 25 October 2026

Now you can provide both the price and tax rate. For example: CalculatePrice(1000, 0.18) Result: 1180 And: CalculatePrice(1000, 0.05) Result: 1050 The function becomes more flexible. 6. Custom Functions with Tables Custom functions become especially powerful when working with tables. Imagine you receive these files: January.xlsx February.xlsx March.xlsx April.xlsx Each file contains raw sales data. …

❤2

19 Oct 2026, 10:34 UTC563 viewsread 25 October 2026

📊 Power BI Learning Roadmap — Part 4 Topic 13: Custom M Functions After learning the basics of M language, the next important concept is Custom Functions. Custom functions allow you to write a transformation once and reuse it multiple times. This becomes very useful when you have many files or tables that need the same transformation logic. 1. What Is a Custom Function? A custom function is a reusable piece of …

19 Oct 2026, 08:09 UTC654 viewsread 25 October 2026
Photo

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18 Oct 2026, 13:20 UTC936 viewsread 25 October 2026
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𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 ✅ 100% FREE YouTube Learning ✅ Beginner-Friendly Programming Tutorials ✅ Learn Popular & In-Demand Tech Skills ✅ Study at Your Own Pace ✅ Build a Strong Foundation for Coding Interviews 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇:- https://pdlink.in/3WcuMvi ⚡ Your coding journey can start today—completely FREE!

17 Oct 2026, 14:25 UTC809 viewsread 25 October 2026

📊 Power BI Learning Roadmap — Part 4 Topic 12: Power Query M Language Until now, we have mostly used the Power Query interface to clean and transform data. But behind almost every transformation you perform in Power Query, there is code. That language is called M. Understanding M doesn't mean you need to become a programmer. You just need to understand how Power Query represents the transformations you perform. …

17 Oct 2026, 14:25 UTC≈1,020 views4 reactionsread 25 October 2026

These functions become much easier to understand once you recognize the pattern. 7. The each Keyword You will see each frequently in Power Query. For example: each [Sales] > 5000 It means the expression should be evaluated for each row. Another example: each [Quantity] * [Price] This calculates the result for every row. If: Quantity = 10 Price = 500 then: 10 × 500 = 5000 8. Column References In M, a co…

❤4

17 Oct 2026, 06:02 UTC859 viewsread 25 October 2026
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16 Oct 2026, 15:38 UTC≈1,010 viewsread 25 October 2026
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Showing the 12 most recent of 168 posts we hold for @PowerBI_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.

Polls

The 6 most recent of 20 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.

9 Oct 2026, 19:19 UTCAnonymous Quiz135 voters

You have Quantity and Price columns and want to create a new Sales Amount column using Quantity × Price. Which Power Query feature is most appropriate?

  1. A) Group By14%
  2. B) Custom Column50%
  3. C) Conditional Column30%
  4. D) Remove Duplicates6%

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

9 Oct 2026, 19:19 UTCAnonymous Quiz139 voters

Which of the following is NOT typically an operation performed by Group By?

  1. A) Sum7%
  2. B) Average8%
  3. C) Count4%
  4. D) Create a line chart81%

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

9 Oct 2026, 19:19 UTCAnonymous Quiz137 voters

What is the main purpose of Group By?

  1. A) Change data types2%
  2. B) Remove duplicate columns7%
  3. C) Summarize data based on one or more columns83%
  4. D) Create relationships8%

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

9 Oct 2026, 19:19 UTCAnonymous Quiz139 voters

Which language is used when creating a Custom Column in Power Query?

  1. A) DAX50%
  2. B) SQL18%
  3. C) M29%
  4. D) Python4%

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

9 Oct 2026, 19:18 UTCAnonymous Quiz123 voters

What is the primary purpose of a Conditional Column in Power Query?

  1. A) Create relationships between tables14%
  2. B) Create a new column based on conditions72%
  3. C) Create a DAX measure11%
  4. D) Create a visualization3%

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

6 Aug 2026, 22:01 UTCAnonymous Quiz124 voters

Before building visualizations, what is the recommended first step after importing data?

  1. A) Publish the report3%
  2. B) Create dashboards8%
  3. C) Clean and transform the data using Power Query88%
  4. D) Add slicers1%

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 168 most recent posts we hold, published 31 July 2026 to 24 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 12 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.

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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@Jobs204 · 23,170
#55
Learn Python Coding
@pythonRe · 40,892
#56
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,309
#57
Web Development
@webdev_trainings · 133,760
#58
Learn Business and Finance
@Learn_Business_101 · 53,242
#59
Data Science & Machine Learning Free Resources
@datascience69 · 20,454
#60
𝘾𝘿𝙄 (𝙉𝙊𝙏𝙀𝙎) 🚩
@CdiNotes · 19,308
#61
Freelancing Tips: Earn Money Online
@freelancing_upwork · 22,381
#62
Jobs | Internships | Placement | Interviews
@getjobss · 113,242
#63
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,673
#64
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,982
#65
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,330
#66
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,590
#67
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,111
#68
Generative AI
@generativeai_gpt · 31,031
#69
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,110
#70
Crypto Trends
@Bitcoin_Crypto_Web · 23,061
#71
Software Developer Jobs & IT Internships
@internshiptojobs · 48,390
#72
Ai Tools: ChatGPT, Midjourney, Deepseek
@OpenAI_Mastery · 50,188
#73
AI and Machine Learning
@machine_learning_courses · 96,321
#74
Learn JavaScript
@JavaScript_Trainings · 96,345
#75
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,819
#76
Digital Marketing Tricks
@digitalmarketing_trick · 22,353
#77
Engineering Programs and Mobile Apps
@ProgramsStore · 15,246
#78
Udemy
@udemyrip · 68,607
#79
DevOps(Document Repository)
@DevopsDoc · 9,812
#80
Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,345
#81
AI & Deep Learning
@deeplearning005 · 11,296
#82
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,855
#83
AI Post — Artificial Intelligence
@aipost · 675,880
#84

Read from Telegram’s recommendation API, most recently 23 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.

MS Excel for Data Analysis
@excel_analyst · 73,323
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 20 August 2026
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,332
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 24 August 2026
Data Analytics
@sqlspecialist · 110,788
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 14 August 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,347
Telegram ranks this channel #5 of 85 here — alongside 84 others — read 24 August 2026
Python Programming Books
@dsabooks · 59,138
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 22 August 2026
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,468
Telegram ranks this channel #7 of 83 here — alongside 82 others — read 10 September 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,598
Telegram ranks this channel #7 of 86 here — alongside 85 others — read 10 September 2026
Python for Data Analysts
@pythonanalyst · 51,634
Telegram ranks this channel #7 of 82 here — alongside 81 others — read 24 August 2026
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,623
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 30 August 2026
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 37,890
Telegram ranks this channel #9 of 83 here — alongside 82 others — read 31 August 2026
Artificial Intelligence
@machinelearning_deeplearning · 56,534
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 23 August 2026
Thedataschoool
@thedataschoool · 42,526
Telegram ranks this channel #15 of 85 here — alongside 84 others — read 29 August 2026
Coding & Data Science Resources
@codingfreebooks · 32,555
Telegram ranks this channel #18 of 79 here — alongside 78 others — read 5 September 2026
Data Engineers❤️
@shubham_wadekar_jobs · 24,505
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 15 September 2026
Coding & AI Resources
@leadcoding · 35,302
Telegram ranks this channel #19 of 79 here — alongside 78 others — read 2 September 2026
SQL Programming Resources
@sqlanalyst · 76,548
Telegram ranks this channel #25 of 85 here — alongside 84 others — read 19 August 2026
Data Analyst Jobs
@jobs_SQL · 91,282
Telegram ranks this channel #28 of 86 here — alongside 85 others — read 17 August 2026
PW Skills - Official
@SkillsPW · 36,382
Telegram ranks this channel #30 of 54 here — alongside 53 others — read 1 September 2026
Machine Learning
@MachineLearning9 · 41,879
Telegram ranks this channel #34 of 79 here — alongside 78 others — read 30 August 2026
Data Science & Machine Learning Resources
@datalemur · 20,740
Telegram ranks this channel #36 of 72 here — alongside 71 others — read 26 September 2026
Data Science
@sql_databases · 70,726
Telegram ranks this channel #36 of 73 here — alongside 72 others — read 20 August 2026
Data Analytics
@DataAnalyticsX · 30,842
Telegram ranks this channel #40 of 85 here — alongside 84 others — read 7 September 2026
Startup & Business Ideas
@Learn_Startup · 33,128
Telegram ranks this channel #44 of 81 here — alongside 80 others — read 4 September 2026
Data Science & Machine Learning Free Resources
@datascience69 · 20,454
Telegram ranks this channel #45 of 82 here — alongside 81 others — read 27 September 2026

This channel appears in 92 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“Power BI & Tableau Resources” (@PowerBI_analyst), 55,789 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/PowerBI_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.