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SQL For Data Analytics

SQL For Data Analytics

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This channel covers everything you need to learn SQL for data science, data analyst, data engineer and business analyst roles.

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📈 Analytical overview of Telegram channel SQL For Data Analytics

Channel SQL For Data Analytics (@mysqldata) in the English language segment is an active participant. Currently, the community unites 10 515 subscribers, ranking 19 141 in the Education category and 36 190 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 515 subscribers.

According to the latest data from 28 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -78 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 15.03%. Within the first 24 hours after publication, content typically collects 5.05% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 580 views. Within the first day, a publication typically gains 531 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as sql, analyst, database, engineering, greeting.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“This channel covers everything you need to learn SQL for data science, data analyst, data engineer and business analyst roles.”

Thanks to the high frequency of updates (latest data received on 29 October, 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.

10 515
Subscribers
-524 hours
-207 days
-7830 days
Posts Archive
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SQL INDEXES & QUERY PERFORMANCE
SQL INDEXES & QUERY PERFORMANCE

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Double Tap ❤️ For More

SQL Views 💯
SQL Views 💯

The Secret to learn SQL: It's not about knowing everything It's about doing simple things well What You ACTUALLY Need: 1. SELECT Mastery * SELECT * LIMIT 10 (yes, for exploration only!) * COUNT, SUM, AVG (used every single day) * Basic DATE functions (life-saving for reports) * CASE WHEN 2. JOIN Logic * LEFT JOIN (your best friend) * INNER JOIN (your second best friend) * That's it. 3. WHERE Magic * Basic conditions * AND, OR operators * IN, NOT IN * NULL handling * LIKE for text search 4. GROUP BY Essentials * Basic grouping * HAVING clause * Multiple columns * Simple aggregations Most common tasks: * Pull monthly sales * Count unique customers * Calculate basic metrics * Filter date ranges * Join 2-3 tables Focus on: * Clean code * Clear comments * Consistent formatting * Proper indentation Here you can find essential SQL Interview Resources👇 https://t.me/mysqldata Like this post if you need more 👍❤️ Hope it helps :) #sql

SQL Set Operators
SQL Set Operators

SQL changes slowly. AI doesn’t. If you work with data, analytics or engineering, it’s getting harder to ignore what’s happeni
SQL changes slowly. AI doesn’t.
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Double Tap ❤️ For More SQL Notes