Channel
@towards_data
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
5subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002176891064 |
|---|---|
| Type | Channel |
| Username | @towards_data |
| Description | Growing Community for Data Science and Machine Learning |
| Created | 9 November 2024 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/towards_data |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:18 | 5 | no change |
| 7 Aug 2026, 15:10 | 5 | first reading |
10 posts held, back to 9 November 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 15 March 2025. An engagement rate over an empty window would be a number about nothing.
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.
How Much Should You Be Earning? A Data-Driven Salary Prediction Analysis In today’s competitive job market, understanding salary trends is crucial for professionals looking to maximize their earning potential and for companies aiming to attract top talent. Using real-world data, we analyzed the key factors that influence salaries. 🚀 Want to dive deeper into this analysis? Check out the full project on my Datacamp w…
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How to draw best fit line of linear regression with scikit learn #DataAnalytics #DataScientist #machine_learning
Introduction to Scikit Learn, here are essential imports to with Scikit Learn #DataScientist #machine_learning #DataAnalytics
How to create array of random numbers within a certain range. #DataAnalytics #machine_learning #DataScientist
Hey everyone 👋 . As data scientists, we are data hungry!! Good news is data is available everywhere on the internet, and Pandas has the feature to import all of that goodness easily into a DataFrame 👌 . How? Check out the slides!! . 👨💻#Pandas
Howdy everyone 👋👋 . How about continuing our discussion on how to use Pandas to get valuable insights from our data? Shall we? 👌 . 👨💻#Pandas
Hi there
Channel photo updated
Channel created
Showing the 10 most recent of 10 posts we hold for @towards_data. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Towards Data Science” (@towards_data), 5 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/towards_data.
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.