Yaqinda tasdiqlanganlar:

uz

Data Science

Kanalga Telegram’da o‘tish

Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

Ko'proq ko'rsatish

Hindiston4 562 Taʼlim2 261...

📈 Telegram kanali Data Science analitikasi

Data Science (@sql_databases) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 70 790 obunachidan iborat bo'lib, Taʼlim toifasida 2 261-o'rinni va Hindiston mintaqasida 4 562-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 70 790 obunachiga ega bo‘ldi.

26 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -310 ga, so‘nggi 24 soatda esa -15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 11.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 7 934 marta ko‘riladi; birinchi sutkada odatda 1 943 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent database, learning, linkedin, udemy, 029k| kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

70 790

Obunachilar

-1524 soatlar

-1277 kunlar

-31030 kunlar

7 934

Post ko'rishlar

~ 1 94324 soatlar

~ 2 70448 soatlar

11.21%

Muloqot nisbati

Ma'lumot yo'q

Kuniga postlar

Postlar arxiv

70 779

+7

📖 Types of keys on SQL

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70 779

📖 SQL vs NoSQL

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📖 Learn About SQL Data Types

70 779

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70 779

📖 Learn SQL

70 779

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70 779

🔰 Data Analysis With Python

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70 779

+1

Learn SQL in 30 days (roadmap) 🔥

70 779

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 217k| 🔰 Linkedin Learning Courses 124k| 🔰 Premium Udemy Courses 123k| 🔰 Web Development -◦-◦--◦- 101k| 🔰 Learn Python 093k| 🔰 JavaScript Courses 073k| 🔰 Machine Learning -◦-◦--◦- 065k| 🔰 DevOps Tutorials 057k| 🔰 Learn React and NextJs 052k| 🔰 Data Analysis and Databases -◦-◦--◦- 048k| 🔰 Linux and DevOps 043k| 🔰 Best Telegram Channels 042k| 🔰 100 Days of Python -◦-◦--◦- 038k| 🔰 Business Training 037k| 🔰 ChatGPT Mastery 034k| 🔰 Mobile Development -◦-◦--◦- 033k| 🔰 Zero to Mastery 031k| 🔰 Udemy Learning 031k| 🔰 Codedamn Courses -◦-◦--◦- 030k| 🔰 Linkedin Learning 029k| 🔰 React 101 028k| 🔰 Crypto Lessons -◦-◦--◦- 024k| 🔰 Coding Interview 022k| 🔰 Telegram's Shorts -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

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27 - Conclusion

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+2

26 - Data Visualization - Part 01

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⚠️ To be continued

70 779

+2

25 - Solution to the Absenteeism Exercise - Part 01

70 779

24 - The Absenteeism Exercise - Introduction

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+1

23 - A Loan Data Example with NumPy - Part 01

70 779

⚠️ To be continued

70 779

24 - The Absenteeism Exercise - Introduction

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+2

22 - NumPy - Preprocessing - Part 01