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Data Science

Data Science

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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 70 778 obunachidan iborat bo'lib, Taʼlim toifasida 2 259-o'rinni va Hindiston mintaqasida 4 564-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 70 778 obunachiga ega bo‘ldi.

27 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -317 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 11.42% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.47% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 8 084 marta ko‘riladi; birinchi sutkada odatda 1 749 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 28 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.

70 778
Obunachilar
-1524 soatlar
-1477 kunlar
-31730 kunlar
Postlar arxiv
🔅 SQL for Finance Professionals 🌐 Author: Megan Lieu 🔰 Level: Beginner ⏰ Duration: 1h 6m 🌀 Learn the fundamentals to get
🔅 SQL for Finance Professionals 🌐 Author: Megan Lieu 🔰 Level: BeginnerDuration: 1h 6m
🌀 Learn the fundamentals to get started in using SQL for financial analysis and modeling.
📗 Topics: Financial Analysis, SQL 📤 Join SQL Database Mastery for more courses

🖥 SQL JOINS
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🖥 SQL JOINS

📦 Exercise Files

📱SQL Database Mastery 📱SQL Server Machine Learning Services: Python

🔅 SQL Server Machine Learning Services: Python 🌐 Author: Adam Wilbert 🔰 Level: Advanced ⏰ Duration: 2h 31m 🌀 Learn how to
🔅 SQL Server Machine Learning Services: Python 🌐 Author: Adam Wilbert 🔰 Level: AdvancedDuration: 2h 31m
🌀 Learn how to analyze SQL Server data with Python. Discover how to perform statistical analyses, generate graphics, and process tabular data—directly in SQL Server.
📗 Topics: Machine Learning, Microsoft SQL Server, Python 📤 Join SQL Database Mastery for more courses

🖥 Create DataBase In SQL
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🖥 Create DataBase In SQL

🖥 SQL Math Functions
🖥 SQL Math Functions

🧿 SQL Cheat Sheet
🧿 SQL Cheat Sheet

🖥 MySQL Cheatsheet
+8
🖥 MySQL Cheatsheet

🖥 SQL Short Notes
+7
🖥 SQL Short Notes

🖥 SQL JOINS Cheat Sheet
🖥 SQL JOINS Cheat Sheet

Repost from Linkedin Learning
Welcome to our Development Pack! 🚀 If you're interested in web development, mobile development, machine learning, or even Ch
Welcome to our Development Pack! 🚀 If you're interested in web development, mobile development, machine learning, or even ChatGPT, you're in the right place. You'll find channels for everything, starting with the famous Python 🐍 and JavaScript, and finishing with React, Next.js, AutoCAD, and SolidWorks. We also cover databases, Linux 🐧, ethical hacking, cybersecurity, finance and marketing, crypto tutorials, and many more. 🌟 📱 Development Pack

📦 Exercise Files

📱SQL Database Mastery 📱Introduction to Spark SQL and DataFrames

🔅 Introduction to Spark SQL and DataFrames 🌐 Author: Dan Sullivan 🔰 Level: Intermediate ⏰ Duration: 1h 54m 🌀 Learn about
🔅 Introduction to Spark SQL and DataFrames 🌐 Author: Dan Sullivan 🔰 Level: IntermediateDuration: 1h 54m
🌀 Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.
📗 Topics: Apache Spark, SQL 📤 Join SQL Database Mastery for more courses

📦 Keys in SQL
+7
📦 Keys in SQL

🔅SQL Revision Notes for Interview💡
+8
🔅SQL Revision Notes for Interview💡

TOP 18 SQL Interviews Q A💡💥
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TOP 18 SQL Interviews Q A💡💥

🖥 SQL Commands - essentials
🖥 SQL Commands - essentials

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