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Coding Courses

Coding Courses

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📈 Analytical overview of Telegram channel Coding Courses

Channel Coding Courses (@coding_learning1) in the English language segment is an active participant. Currently, the community unites 18 359 subscribers, ranking 10 928 in the Education category and 22 999 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 359 subscribers.

According to the latest data from 29 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 413 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 13.41%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 461 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 23.
  • Thematic interests: Content is focused on key topics such as javascript, array, html, learning, recognition.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
🔴Declaimer🔴 We do not hold this content or stored in our drive, we just redirect telegram or website link where this content is already shared

Thanks to the high frequency of updates (latest data received on 30 July, 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.

18 359
Subscribers
+1124 hours
+1237 days
+41330 days
Posts Archive
9. Scikit-learn Creating Machine Learning Models - Part 02.zip609.45 MB

9. Scikit-learn Creating Machine Learning Models - Part 01.zip653.57 MB

8. Matplotlib Plotting and Data Visualization - Part 03.zip380.36 MB

8. Matplotlib Plotting and Data Visualization - Part 02.zip355.70 MB

8. Matplotlib Plotting and Data Visualization - Part 01.zip449.63 MB

7. NumPy.zip889.60 MB

6. Pandas Data Analysis.zip738.27 MB

5. Data Science Environment Setup.zip857.07 MB

4. The 2 Paths.zip9.76 MB

2. Machine Learning 101.zip194.12 MB

1. Introduction.zip105.21 MB

🔰 Complete Machine Learning and Data Science 2021 ⏱43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, Machine Learni
🔰 Complete Machine Learning and Data Science 2021 43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

🔰 Complete Machine Learning and Data Science - Zero to Mastery ⏱43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, M
🔰 Complete Machine Learning and Data Science - Zero to Mastery 43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more! Taught by: Andrei Neagoie #ML #python #development

Heyy👋 I will be uploading a detailed javascript roadmap with source to learn , it's has 5 pdfs included . .Stay tuned

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