Channel
@HSE_analytic_eng
On this record: Growth · Engagement · What this channel posts · Posts · Cite this entry
92subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001220823341 |
|---|---|
| Type | Channel |
| Username | @HSE_analytic_eng |
| Created | Between 1 March 2018 and 5 March 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 3 times, most recently 8 September 2026 |
| On Telegram | t.me/HSE_analytic_eng |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 14:57 | 92 | -1 |
| 9 Aug 2026, 13:31 | 93 | no change |
| 7 Aug 2026, 21:22 | 93 | first reading |
20 posts held, back to 5 March 2021 — 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 page of 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 20 posts for this entry, the most recent from 18 October 2021. An engagement rate over an empty window would be a number about nothing.
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.
Correction to the Program: Plenary lecture of Professor Maskin (Novel prize, Harvard University) will be given October 19, at 20:00 (Moscow time) - Eric Maskin (Nobel prize, Harvard University, USA) Arrow’s Theorem, May’s Axioms, and Borda’s Rule Corrected Conference program is attached Zoom connection to this lecture (only to this lecture) is https://zoom.us/j/98947260691?pwd=cVVCcko1VkdyQWJNcFFtOXdzNk9Jdz09 Confe…
Dear all, Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA) invites you to participate the upcoming activities in this week: 📎 The 11th International Conference on Network Analysis. Conference web page Link more details: https://nnov.hse.ru/en/latna/conferences/net2021 📎 6th Winter School on Data Analytics (DA 2021). Winter School we…
Best markers of a program's success: the alumni Before you join a program, talk to the program's graduates. No other source of information can tell you what the student experience is like, what the opportunities for students and graduates can be, and how you can make your studies the most successful. In the webinar held by Ms. Elena Beylina, the «Master of Data and Network Analytics» program alumni and a current ins…
Manage your (data) relations: overview of databases from an expert in relational analysis Have you heard that 95% of data analysis is data cleaning? Cleaning and organizing data is the most time-consuming part of the analytics process. But you can significantly shorten this process. Dr. Valentina Kuskova, academic supervisor of the «Master of Data and Network Analytics» program, who started her relations with databa…
Heart and Mind: Sentiment analysis in R How do you know if people like your product? Or what they think about different features on your website? Join HSE University’s webinar on 27 July at 7pm Moscow time (GMT+3) to learn more about sentiment analysis - one of the most useful customer analysis techniques available today. In this webinar HSE University will cover several techniques that will allow you to get an ins…
Discovering the capabilities of time-driven network analysis Discover the field of network science and start developing hands-on time-related network analysis skills at HSE University’s upcoming webinar on 20 July at 7pm Moscow time (GMT+3). Did you know that “networks” can be so much more than online social platforms? That there is even a field for all network-related theory and methods, called “network science”? …
Data mining for everyone: from decision-making to predicting the future with Orange Join our webinar on 13 July at 7pm Moscow time (GMT+3) to learn about data mining techniques that can be used by everyone! In this webinar Dr. Dmitry Zaytsev, deputy academic supervisor of the «Master of Data and Network Analytics» and a social / data / network scientist with over 15 years of experience in data mining, will show you…
All of us are connected to many other people by an acquaintance, friendship, family, professional, and other social ties. The set of all these connections constitutes the structure of a complex social network we all belong to. The topology of this structure has a substantial influence on every individual and society's functioning via many mechanisms. These mechanisms are described by the Social Network Analysis (SN…
John Tukey, a well-known mathematician and statistician, wrote that «The greatest value of a picture is when it forces us to notice what we never expected to see.» A picture is worth a thousand words; that is why it is crucial to develop visual thinking. We are bombarded by so much information daily, printed and online, that we simply don’t have time to read it all. However, a chart or a graph can make life easier,…
What is RMarkdown, or how to make an incredibly excellent report in R Analytical work isn't just about building models; after all, it's about interpreting and transferring the results into an analytical report. How do you make R become a valuable tool for data analysis and an instant compiler to produce a document that includes the text, the necessary code, and the results? RMarkdown, which is a kind of add-on in R…
Word cloud online. Part 2 We have already described how to create a word cloud online using https://wordscloud.pythonanywhere.com. This site allows you to create beautiful pictures, however it’s limited in its use. The Word Cloud Generator by Jason Davies is an online tool that allows you to load the desired text and adjust various parameters, down to the scale and orientation of the text. Try and choose what is c…
HSE Master of Data & Network Analytics Webinar: How to win Kaggle competitions Data science competitions are getting more and more popular, and winning them is a sure-fire way to get noticed by the best employers on the market. However, winning such competitions is no easy feat, especially when you compete against both the world's best universities and companies like Amazon and Google. Join us on April 21, 2021, a…
Showing the 12 most recent of 20 posts we hold for @HSE_analytic_eng. 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.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Analytic workshop” (@HSE_analytic_eng), 92 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/HSE_analytic_eng.
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.