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.
显示更多📈 Telegram 频道 SQL For Data Analytics 的分析概览
频道 SQL For Data Analytics (@mysqldata) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 515 名订阅者,在 教育 类别中位列第 19 141,并在 印度 地区排名第 36 190 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 10 515 名订阅者。
根据 28 十月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -78,过去 24 小时变化为 -5,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 15.03%。内容发布后 24 小时内通常能获得 5.05% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 580 次浏览,首日通常累积 531 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 sql, analyst, database, engineering, greeting 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“This channel covers everything you need to learn SQL for data science, data analyst, data engineer and business analyst roles.”
凭借高频更新(最新数据采集于 29 十月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
10 515
订阅者
-524 小时
-207 天
-7830 天
帖子存档
10 515
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If you want to be a data analyst, you should work to become as good at SQL as possible. 📱
1. SELECT
What a surprise! I need to choose what data I want to return.
2. FROM
Again, no shock here. I gotta choose what table I am pulling my data from.
3. WHERE
This is also pretty basic, but I almost always filter the data to whatever range I need and filter the data to whatever condition I’m looking for.
4. JOIN
This may surprise you that the next one isn’t one of the other core SQL clauses, but at least for my work, I utilize some kind of join in almost every query I write.
5. Calculations
This isn’t necessarily a function of SQL, but I write a lot of calculations in my queries. Common examples include finding the time between two dates and multiplying and dividing values to get what I need.
Add operators and a couple data cleaning functions and that’s 80%+ of the SQL I write on the job.
React ♥️ for more
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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
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SQL changes slowly. AI doesn’t.
If you work with data, analytics or engineering, it’s getting harder to ignore what’s happening with new models, agents and APIs.AI Posted follows OpenAI, Anthropic, Google DeepMind, Meta and the technical shifts around them — without turning it into another endless feed of AI tools. Join @ai_posted
10 515
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🎬 Music Videos
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Listen & download for free.
📲 t.me/alexator_music
Follow for new music & updates.
▶️ NEW MUSIC VIDEO
ALEXATOR — GENESIS (001)
https://youtu.be/OR2yplPn1AU
