Coders Learning
Open in Telegram
We provide Webinars, Jobs, Resources, Books, Notes, and Unlimited Free Courses with CERTIFICATES!☑️ For Promotions: Mail: coderslearning07@gmail.com Join us on WhatsApp!👇 https://whatsapp.com/channel/0029Vajh8uc2ER6gzBxUYs1U
Show more📈 Analytical overview of Telegram channel Coders Learning
Channel Coders Learning (@coderslearning) in the English language segment is an active participant. Currently, the community unites 33 208 subscribers, ranking 5 657 in the Education category and 11 980 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 33 208 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -262 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.13%. Within the first 24 hours after publication, content typically collects 1.40% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 037 views. Within the first day, a publication typically gains 465 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as |--, sql, engineer, developer, hcl.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“We provide Webinars, Jobs, Resources, Books, Notes, and Unlimited Free Courses with CERTIFICATES!☑️
For Promotions:
Mail: coderslearning07@gmail.com
Join us on WhatsApp!👇
https://whatsapp.com/channel/0029Vajh8uc2ER6gzBxUYs1U”
Thanks to the high frequency of updates (latest data received on 30 August, 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.
33 208
Subscribers
-724 hours
-657 days
-26230 days
Posts Archive
33 208
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🚀 Full Stack Development Roadmap🚀
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33 208
Essential Programming Languages to Learn Data Science, Machine Learning & AI👇👇
1. Python: Python is one of the most popular programming languages for data science due to its simplicity, versatility, and extensive library support (such as NumPy, Pandas, and Scikit-learn).
2. R: R is another popular language for data science, particularly in academia and research settings. It has powerful statistical analysis capabilities and a wide range of packages for data manipulation and visualization.
3. SQL: SQL (Structured Query Language) is essential for working with databases, which are a critical component of data science projects. Knowledge of SQL is necessary for querying and manipulating data stored in relational databases.
4. Java: Java is a versatile language that is widely used in enterprise applications and big data processing frameworks like Apache Hadoop and Apache Spark. Knowledge of Java can be beneficial for working with large-scale data processing systems.
5. Scala: Scala is a functional programming language that is often used in conjunction with Apache Spark for distributed data processing. Knowledge of Scala can be valuable for building high-performance data processing applications.
6. Julia: Julia is a high-performance language specifically designed for scientific computing and data analysis. It is gaining popularity in the data science community due to its speed and ease of use for numerical computations.
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Take another week to solidify these skills.
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Like this post if it helps 😄❤️
ENJOY LEARNING 👍👍
