Free Online Courses
π Analytical overview of Telegram channel Free Online Courses
Channel Free Online Courses (@courses27) in the English language segment is an active participant. Currently, the community unites 24 239 subscribers, ranking 8 205 in the Education category and 16 695 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 24 239 subscribers.
According to the latest data from 24 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 284 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.59%. Within the first 24 hours after publication, content typically collects 0.85% reactions from the total number of subscribers.
- Post reach: On average, each post receives 144 views. Within the first day, a publication typically gains 207 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as api, completion, javascript, udemy, css.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βAdmin: @hussein_sheikhoβ
Thanks to the high frequency of updates (latest data received on 25 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 25 October | 0 | |||
| 24 October | 0 | |||
| 23 October | +8 | |||
| 22 October | +9 | |||
| 21 October | +8 | |||
| 20 October | +12 | |||
| 19 October | +14 | |||
| 18 October | +7 | |||
| 17 October | +10 | |||
| 16 October | +9 | |||
| 15 October | +8 | |||
| 14 October | +4 | |||
| 13 October | +22 | |||
| 12 October | +9 | |||
| 11 October | +5 | |||
| 10 October | +15 | |||
| 09 October | +15 | |||
| 08 October | +17 | |||
| 07 October | +14 | |||
| 06 October | +13 | |||
| 05 October | +21 | |||
| 04 October | +33 | |||
| 03 October | +17 | |||
| 02 October | +8 | |||
| 01 October | +14 |
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A Conversation on the Future of Network Engineering
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π’ Channel: https://t.me/Courses27 | 306 |
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From Evolution Theory to Working Code
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π’ Channel: https://t.me/Courses27 | 267 |
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Overview
This short course demystifies quaternions, a mathematical tool for representing rotation in 3D space that's widely used in game development but rarely well understood. It starts from Euler angles and the gimbal lock problem they create, then builds toward quaternions as a more robust alternative, finishing with hands-on application inside Unity using C#.
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Aimed at game designers and programmers who have encountered quaternions in the Unity API but don't fully understand what they're doing or why they outperform other rotation methods β not a substitute for a full postgraduate mathematics treatment.
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Three Ways to Teach a Go-Kart to Drive Itself
This course uses a simulated go-kart racing around a track as a hands-on way to explore machine learning and reinforcement learning concepts inside Unity. Rather than treating control as one technique, it compares three distinct approaches: a classic PID controller, a neural network trained through imitation (supervised) learning, and a neural network trained through deep reinforcement learning.
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This course bridges the gap between AI hype and practical financial modelling. It is not a generic tutorial; it is a workflow built from live deal experience by a top-tier CFA charterholder and Financial Modeling World Cup champion.
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