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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

55,842subscribers

+4 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 live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 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

55,82155,93255,876.56 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 subscribers55,8426 August 202618 September 2026
35 measurements spanning 43 days, net +4. 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 55,804–55,949 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
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, 10:1855,862-52
5 Sept 2026, 03:3955,914+4
3 Sept 2026, 09:0655,910-4
2 Sept 2026, 04:4355,914-7
1 Sept 2026, 01:0555,921+14
31 Aug 2026, 03:2955,907+11
30 Aug 2026, 02:0455,896+20
29 Aug 2026, 01:1755,876+1
27 Aug 2026, 22:3255,875-11
27 Aug 2026, 01:1755,886-12
26 Aug 2026, 02:5355,898+1
25 Aug 2026, 05:3955,897-17
24 Aug 2026, 07:2355,914-18
22 Aug 2026, 13:3755,932+8
21 Aug 2026, 00:4655,924first reading

Engagement

130 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 106 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.03%
avg views ÷ 55,842 subscribers
Avg views / post
1,130
52 posts measured
Reaction rate
0.346%
reactions ÷ views · ER floor
Posts in window
52
of 130 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 29 of 52 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 26 September 2026
Posts held130 (31 July 2026 – 26 September 2026)
Views total58,807
Reactions total120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 04:54 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
371
Links
577

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.

Reaction mix

248 reactions across 71 posts, in 3 distinct kinds. The most used accounts for 95.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤23695.2%
🔥72.82%
👍52.02%

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 74 of the 130 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 248 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 130 most recent posts we hold, published 31 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

26 Sept 2026, 21:35 UTC192 views1 reactionsread 27 September 2026

Imagine an organization receives daily sales data in an Excel file. The file contains: • Order ID • Customer • Product • Region • Sales amount • Order date You connect the file using Get Data. Before loading everything into the model, you inspect the available data and determine which tables or sheets are required. You then prepare the data for analysis. Later, the organization grows and moves its sales da…

❤1

26 Sept 2026, 21:35 UTC115 viewsread 27 September 2026

However, the data in the Power BI model needs to be refreshed when the source data changes. 🔹 DirectQuery DirectQuery works differently. Instead of importing the underlying data into the Power BI model in the same way as Import mode, Power BI can send queries back to the underlying data source when users interact with the report. For example: A user selects: • Region = West Power BI may send a query to the und…

26 Sept 2026, 21:35 UTC126 viewsread 27 September 2026

📊 Power BI Learning Roadmap — Part 3 Topic 4: Getting Data into Power BI Before Power BI can analyze anything, it needs access to data. Power BI can connect to data from many different sources, including Excel files, CSV files, databases, websites, cloud platforms, and organizational systems. The first skill you need is understanding how Power BI connects to these sources and what happens after you connect to the…

26 Sept 2026, 11:02 UTC399 viewsread 27 September 2026
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24 Sept 2026, 10:07 UTC895 views1 reactionsread 27 September 2026
Photo

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❤1

23 Sept 2026, 23:54 UTC872 views7 reactionsread 27 September 2026

🔹 Filters Pane The Filters pane allows you to control which data is displayed. Power BI has different levels of filtering, including: Visual-level filter Applies to one particular visual. Example: Show only Top 10 Products in a chart. Page-level filter Applies to all relevant visuals on one report page. Example: Show only data for 2026. Report-level filter Applies across the entire report. Example: Show on…

❤6👍1

23 Sept 2026, 23:53 UTC645 views1 reactionsread 27 September 2026

📊 Power BI Learning Roadmap — Part 2 Topic 3: Power BI Desktop Power BI Desktop is the main Windows application used to develop Power BI reports. If Power BI Service is where reports are commonly published, shared, and managed, Power BI Desktop is where much of the report-building work happens. Think of Power BI Desktop as your development environment for Power BI. 🖥️ What can you do in Power BI Desktop? Power …

❤1

23 Sept 2026, 15:12 UTC675 views8 reactionsread 27 September 2026

Preparing for an SQL Interview? Here’s What You Need to Know! If you’re aiming for a data-related role, strong SQL skills are a must. Basics: → Learn about the difference between SQL and MySQL, primary keys, foreign keys, and how to use JOINs. Intermediate: → Get into more detailed topics like subqueries, views, and how to use aggregate functions like COUNT and SUM. Advanced: → Explore more complex ideas like win…

❤8

22 Sept 2026, 15:05 UTC896 viewsread 27 September 2026
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22 Sept 2026, 07:18 UTC991 viewsread 27 September 2026
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21 Sept 2026, 12:15 UTC≈1,070 views2 reactionsread 27 September 2026

Actual vs Budget Actual vs Target Current Year vs Previous Year Current Month vs Previous Month Actual vs Forecast For example: Target Revenue: ₹100 Cr Actual Revenue: ₹92 Cr Variance: -₹8 Cr A report can then help users investigate why the variance occurred. 8. Improve decision-making The ultimate purpose of business intelligence is to support better decisions. For example, a sales manager may use Power …

❤2

21 Sept 2026, 12:15 UTC792 viewsread 27 September 2026

📊 Power BI Learning Roadmap — Part 1 Topic 2: Why is Power BI Used? Power BI is used to turn business data into useful information that people can understand, analyze, and act upon. The main value of Power BI is not simply creating attractive charts. Its real value comes from making large and complex datasets easier to analyze. 1. Centralize data analysis Businesses often store data in different sources: Excel …

Showing the 12 most recent of 130 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 15 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.

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.

6 Aug 2026, 22:01 UTCAnonymous Quiz118 voters

Which built-in Power BI tool helps identify slow visuals and DAX queries?

  1. A) Performance Analyzer51%
  2. B) Power Query22%
  3. C) Data View14%
  4. D) Model View13%

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

6 Aug 2026, 22:01 UTCAnonymous Quiz119 voters

Which type of relationship is most commonly recommended in a Power BI data model?

  1. A) Many-to-Many17%
  2. B) One-to-Many65%
  3. C) Many-to-One12%
  4. D) One-to-One7%

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

6 Aug 2026, 22:01 UTCAnonymous Quiz118 voters

Which connection mode stores data inside the Power BI model and generally provides the best performance?

  1. A) DirectQuery22%
  2. B) Live Connection19%
  3. C) Import Mode56%
  4. D) Composite Mode3%

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

6 Aug 2026, 22:00 UTCAnonymous Quiz135 voters

Which Power BI tool is used to publish and share reports online?

  1. A) Power BI Desktop18%
  2. B) Power Query7%
  3. C) Power BI Service73%
  4. D) DAX Studio2%

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

4 Aug 2026, 20:06 UTCAnonymous Quiz165 voters

Which Power BI Service feature restricts users so they can only view the data they're authorized to access?

  1. A) Performance Analyzer12%
  2. B) Row-Level Security (RLS)76%
  3. C) Power Query8%
  4. D) Dataflow4%

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 130 most recent posts we hold, published 31 July 2026 to 26 September 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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@aipost · 700,241
#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 · 72,836
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 · 53,262
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 24 August 2026
Data Analytics
@sqlspecialist · 110,886
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 14 August 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,609
Telegram ranks this channel #5 of 85 here — alongside 84 others — read 24 August 2026
Python Programming Books
@dsabooks · 59,137
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 · 27,546
Telegram ranks this channel #7 of 83 here — alongside 82 others — read 10 September 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,673
Telegram ranks this channel #7 of 86 here — alongside 85 others — read 10 September 2026
Python for Data Analysts
@pythonanalyst · 51,857
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 · 39,680
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 · 38,028
Telegram ranks this channel #9 of 83 here — alongside 82 others — read 31 August 2026
Artificial Intelligence
@machinelearning_deeplearning · 55,794
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 23 August 2026
Thedataschoool
@thedataschoool · 42,192
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 · 24,844
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 15 September 2026
Coding & AI Resources
@leadcoding · 35,444
Telegram ranks this channel #19 of 79 here — alongside 78 others — read 2 September 2026
SQL Programming Resources
@sqlanalyst · 76,675
Telegram ranks this channel #25 of 85 here — alongside 84 others — read 19 August 2026
Data Analyst Jobs
@jobs_SQL · 91,421
Telegram ranks this channel #28 of 86 here — alongside 85 others — read 17 August 2026
PW Skills - Official
@SkillsPW · 36,741
Telegram ranks this channel #30 of 54 here — alongside 53 others — read 1 September 2026
Machine Learning
@MachineLearning9 · 41,424
Telegram ranks this channel #34 of 79 here — alongside 78 others — read 30 August 2026
Data Science & Machine Learning Resources
@datalemur · 20,794
Telegram ranks this channel #36 of 72 here — alongside 71 others — read 26 September 2026
Data Science
@sql_databases · 70,599
Telegram ranks this channel #36 of 73 here — alongside 72 others — read 20 August 2026
Data Analytics
@DataAnalyticsX · 30,208
Telegram ranks this channel #40 of 85 here — alongside 84 others — read 7 September 2026
Startup & Business Ideas
@Learn_Startup · 32,970
Telegram ranks this channel #44 of 81 here — alongside 80 others — read 4 September 2026
CyberSecurity & AI Experts
@EthicalHackingToday · 43,668
Telegram ranks this channel #46 of 67 here — alongside 66 others — read 25 September 2026

This channel appears in 85 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Power BI & Tableau Resources” (@PowerBI_analyst), 55,842 subscribers as measured 18 September 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.