Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
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📈 Telegram kanali Data Science analitikasi
Data Science (@sql_databases) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 71 042 obunachidan iborat bo'lib, Taʼlim toifasida 2 273-o'rinni va Hindiston mintaqasida 4 764-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 71 042 obunachiga ega bo‘ldi.
05 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -54 ga, so‘nggi 24 soatda esa 6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.97% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 8 672 marta ko‘riladi; birinchi sutkada odatda 2 110 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 07 Iyun, 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.
71 042
Obunachilar
+624 soatlar
+237 kunlar
-5430 kunlar
Postlar arxiv
71 057
🔅 Python Data Analysis for Healthcare
🌐 Author: Wuraola Oyewusi
🔰 Level: Advanced
⏰ Duration: 2h 48m
🌀 Learn how to use Python data analysis for a range of practical use cases in the healthcare industry.📗 Topics: Data Analysis, Healthcare Analytics, Python 📤 Join Data Analysis for more courses
71 057
🔅 PREMIUM CHANNELS
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🔰 2hrs on top & 8hrs in channel!
71 057
📂 Full description
Data is increasing exponentially as the world continues to generate an immense amount. In this course, a data engineer with over 5 years of experience, Jennifer Ebe, will show you how to build systems that gather data from various sources, transform it and store data so you can derive insights from it effectively. We will go over what ETLs are and how you create them. We will learn how to use Python to extract and transform data, we will explore our data using pandas and SQL. And finally, load data into our target system. You will also get practice scheduling ETL jobs using Python. Each chapter comes with helpful, hands-on challenges to help you practice what you learn.
71 057
🔅 ETL in Python and SQL
🌐 Author: Jennifer Ebe
🔰 Level: Intermediate
⏰ Duration: 1h 20m
🌀 Gain the knowledge you need to build data pipelines in a data-driven world.📗 Topics: SQL, Extract, Transform, Load, Python 📤 Join Data Analysis for more courses
71 057
🔅 PREMIUM CHANNELS
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🔰 2hrs on top & 8hrs in channel!
71 057
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🔰 2hrs on top & 8hrs in channel!
71 057
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
128k| 🔰 Premium Udemy Courses
127k| 🔰 Web Development
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106k| 🔰 Learn Python
095k| 🔰 JavaScript Courses
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🔰 2hrs on top & 8hrs in channel!
71 057
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
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126k| 🔰 Web Development
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🔰 The Coding Space
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127k| 🔰 Premium Udemy Courses
126k| 🔰 Web Development
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056k| 🔰 Data Analysis and Databases
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050k| 🔰 Linux and DevOps
043k| 🔰 Best Telegram Channels
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039k| 🔰 ChatGPT Mastery
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🔰 Add Your Channel
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🔰 2hrs on top & 8hrs in channel!
