现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Data Science
前往频道在 Telegram
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
显示更多📈 Telegram 频道 Data Science 的分析概览
频道 Data Science (@sql_databases) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 71 041 名订阅者，在 教育 类别中位列第 2 273，并在 印度 地区排名第 4 764 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 71 041 名订阅者。
根据 05 六月, 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 -54，过去 24 小时变化为 6，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 12.21%。内容发布后 24 小时内通常能获得 2.97% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 8 672 次浏览，首日通常累积 2 110 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
- 主题关注点： 内容集中在 database, learning, linkedin, udemy, 029k| 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：
“Learn how to analyze data effectively and manage databases with ease.
Buy ads: https://telega.io/c/sql_databases”
凭借高频更新（最新数据采集于 06 六月, 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。
71 041
订阅者
+624 小时
+237 天
-5430 天
帖子存档
71 041
🔅 MySQL Installation and Configuration
📝 Learn how to install and configure MySQL on various platforms, including Mac and Windows.
🌐 Author: Bill Weinman
🔰 Level: Intermediate
⏰ Duration: 1h 20m
📋 Topics: MySQL, Database Administration
🔗 Join Data Analysis for more courses
71 041
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71 041
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71 041
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71 041
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71 041
If you’re thinking of starting a career in data science but not sure where to begin, 🤔 don’t worry—I’ve got you covered! 🙌
Here’s a list of platforms that can help you learn 📚, practice 💻, and ace your interviews.
Whether you’re diving into online courses 🧑🏫, looking for datasets 📊 to build your projects, or sharpening your coding skills 💡 for interviews, these resources are perfect for you.
71 041
🔅 Hands-On Advanced Python: Data Engineering Basics
📝 Practice applying advanced concepts and coding moves in Python in this hands-on, interactive course with coding challenges in CoderPad.
🌐 Author: Joe Marini
🔰 Level: Advanced
⏰ Duration: 1h 56m
📋 Topics: Python
🔗 Join Data Analysis for more courses
71 041
🔅 Advanced Hands-On Python: Working with Excel and Spreadsheet Data
📝 This course demonstrates ways to use Python to work with Excel and spreadsheet data, such as reading, writing, and converting content and working with Excel workbooks, sheet data, and formulas.
🌐 Author: Joe Marini
🔰 Level: Intermediate
⏰ Duration: 2h 45m
📋 Topics: Pandas, Data Analysis, Microsoft Excel
🔗 Join Data Analysis for more courses
71 041
+3
📖 SQL Joins - Part 1
📍Types of joins used very often includes -
✔️LEFT JOIN - All data from the left table but common data from the right table
✔️RIGHT JOIN - All data from right table and common data from the left table
✔️INNER JOIN - Only common data from both the tables
✔️OUTER JOIN - All the data from both the tables keeping null values with no common keys
✔️UNION - Stack table data on top of one another
✔️CROSS JOIN - All possible combinations of data from both the tables
