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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

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πŸ“ˆ Analytical overview of Telegram channel Data Science

Channel Data Science (@sql_databases) in the English language segment is an active participant. Currently, the community unites 70 778 subscribers, ranking 2 259 in the Education category and 4 564 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 70 778 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -317 over the last 30 days and by -15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 11.42%. Within the first 24 hours after publication, content typically collects 2.47% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 8 084 views. Within the first day, a publication typically gains 1 749 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as database, learning, linkedin, udemy, 029k|.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases”

Thanks to the high frequency of updates (latest data received on 28 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

70 778
Subscribers
-1524 hours
-1477 days
-31730 days
Posts Archive
πŸ”… SQL for Finance Professionals 🌐 Author: Megan Lieu πŸ”° Level: Beginner ⏰ Duration: 1h 6m πŸŒ€ Learn the fundamentals to get
πŸ”… SQL for Finance Professionals 🌐 Author: Megan Lieu πŸ”° Level: Beginner ⏰ Duration: 1h 6m
πŸŒ€ Learn the fundamentals to get started in using SQL for financial analysis and modeling.
πŸ“— Topics: Financial Analysis, SQL πŸ“€ Join SQL Database Mastery for more courses

πŸ–₯ SQL JOINS
+4
πŸ–₯ SQL JOINS

πŸ“¦ Exercise Files

πŸ“±SQL Database Mastery πŸ“±SQL Server Machine Learning Services: Python

πŸ”… SQL Server Machine Learning Services: Python 🌐 Author: Adam Wilbert πŸ”° Level: Advanced ⏰ Duration: 2h 31m πŸŒ€ Learn how to
πŸ”… SQL Server Machine Learning Services: Python 🌐 Author: Adam Wilbert πŸ”° Level: Advanced ⏰ Duration: 2h 31m
πŸŒ€ Learn how to analyze SQL Server data with Python. Discover how to perform statistical analyses, generate graphics, and process tabular dataβ€”directly in SQL Server.
πŸ“— Topics: Machine Learning, Microsoft SQL Server, Python πŸ“€ Join SQL Database Mastery for more courses

πŸ–₯ Create DataBase In SQL
+7
πŸ–₯ Create DataBase In SQL

πŸ–₯ SQL Math Functions
πŸ–₯ SQL Math Functions

🧿 SQL Cheat Sheet
🧿 SQL Cheat Sheet

πŸ–₯ MySQL Cheatsheet
+8
πŸ–₯ MySQL Cheatsheet

πŸ–₯ SQL Short Notes
+7
πŸ–₯ SQL Short Notes

πŸ–₯ SQL JOINS Cheat Sheet
πŸ–₯ SQL JOINS Cheat Sheet

Repost from Linkedin Learning
Welcome to our Development Pack! πŸš€ If you're interested in web development, mobile development, machine learning, or even Ch
Welcome to our Development Pack! πŸš€ 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. 🌟 πŸ“± Development Pack

πŸ“¦ Exercise Files

πŸ“±SQL Database Mastery πŸ“±Introduction to Spark SQL and DataFrames

πŸ”… Introduction to Spark SQL and DataFrames 🌐 Author: Dan Sullivan πŸ”° Level: Intermediate ⏰ Duration: 1h 54m πŸŒ€ Learn about
πŸ”… Introduction to Spark SQL and DataFrames 🌐 Author: Dan Sullivan πŸ”° Level: Intermediate ⏰ Duration: 1h 54m
πŸŒ€ 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.
πŸ“— Topics: Apache Spark, SQL πŸ“€ Join SQL Database Mastery for more courses

πŸ“¦ Keys in SQL
+7
πŸ“¦ Keys in SQL

πŸ”…SQL Revision Notes for InterviewπŸ’‘
+8
πŸ”…SQL Revision Notes for InterviewπŸ’‘

TOP 18 SQL Interviews Q AπŸ’‘πŸ’₯
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TOP 18 SQL Interviews Q AπŸ’‘πŸ’₯

πŸ–₯ SQL Commands - essentials
πŸ–₯ SQL Commands - essentials

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