Data Science
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 70 805 obunachidan iborat bo'lib, Taʼlim toifasida 2 274-o'rinni va Hindiston mintaqasida 4 582-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 70 805 obunachiga ega bo‘ldi.
25 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -309 ga, so‘nggi 24 soatda esa -33 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 12.05% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.78% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 8 533 marta ko‘riladi; birinchi sutkada odatda 1 972 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 26 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.
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| 2 | 📱Data Science
📱Data Literacy: Exploring and Describing Data | 2 725 |
| 3 | 🔅 Data Literacy: Exploring and Describing Data
📝 Learn the fundamentals of data fluency and how data can help you make better decisions.
🌐 Author: Barton Poulson
🔰 Level: Beginner
⏰ Duration: 5h 14m
📋 Topics: Data Science
🔗 Join Data Science for more courses | 2 701 |
| 4 | ⏹️ SQL vs. NoSQL Explained (in 4 Minutes)
📱 SQL DATABASES | 4 801 |
| 5 | The SQL Circle | 6 507 |
| 6 | SQL Joins | 7 072 |
| 7 | 📱Data Science
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| 8 | 🔅 Advanced Spatial Data Visualization in Python
📝 Discover advanced techniques in spatial data visualization with Python. Learn how to create interactive, 3D, and temporal map visualizations to tell more engaging spatial stories.
🌐 Author: Milan Janosov, Ph.D.
🔰 Level: Advanced
⏰ Duration: 1h 39m
📋 Topics: Data Visualization, Spatial Analysis, Spatial Modeling
🔗 Join Data Science for more courses | 7 754 |
| 9 | SQL vs. Pandas | 8 336 |
| 10 | Data Science Jobs Checklist | 8 295 |
| 11 | 💡 The Basics of Database Sharding and Partitioning in System Design
📱 SQL Databases | 9 399 |
| 12 | 📱Data Science
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| 13 | 🔅 Build with AI: SQL Agents with Large Language Models
📝 Learn how to build an AI SQL agent from scratch using Python and different LLM frameworks.
🌐 Author: Rami Krispin
🔰 Level: Beginner
⏰ Duration: 1h 6m
📋 Topics: Large Language Models, SQL, Artificial Intelligence
🔗 Join Data Science for more courses | 9 850 |
| 14 | Array Data Structure Explained
Arrays are one of the most fundamental data structures in programming.
In this short video, you’ll learn how arrays store elements in contiguous memory, how indexing works, and why arrays are fast and efficient for data access.
🔹 What is an Array?
🔹 Indexing & Memory Representation
🔹 Real-world visualization
🔹 Arrays vs Python Lists
Perfect for beginners, CS students, and interview prep 🚀
Understand the concept clearly with a colorful, professional visual explanation. | 8 519 |
| 15 | 🗓️ Your Pandas Cheat Sheet Is Here!
If you’re learning Data Science or working with data daily, this one’s a lifesaver.
I’ve put together the most essential Pandas commands you’ll use for:
✔️ Cleaning data
✔️ Filtering rows
✔️ Merging tables
✔️ Aggregations
✔️ Window functions
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