اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Data Analytics
رفتن به کانال در Telegram
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho
نمایش بیشتر📈 تحلیل کانال تلگرام Data Analytics
کانال Data Analytics (@dataanalyticsx) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 28 965 مشترک است و جایگاه 4 732 را در دسته فناوری و برنامهها و رتبه 22 760 را در منطقه روسيا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 28 965 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 13 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 510 و در ۲۴ ساعت گذشته برابر 15 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.93% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.27% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 138 بازدید دریافت میکند. در اولین روز معمولاً 368 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند sellerflash, buybox, buyer, chaos, effortless تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
Admin: @HusseinSheikho || @Hussein_Sheikho”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 14 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
28 965
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28 965
Repost from Github Top Repositories
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28 965
Repost from Github Top Repositories
🔥 Trending Repository: awesome-front-end-system-design
📝 Description: Curated front end system design resources for interviews and learning
🔗 Repository URL: https://github.com/greatfrontend/awesome-front-end-system-design
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Repost from Machine Learning with Python
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Repost from Machine Learning with Python
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Algorithm Engineering
by Prof. Charles Leiserson and Prof. Julian Shun
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ROS 2 Tutorials
Husarion has published a great step-by-step ROS 2 tutorial series that walks you through basics of ROS 2 in C++ for mobile robot applications.
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Repost from Machine Learning with Python
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