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 71 062 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 71 062 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 07 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。
71 062
订阅者
+624 小时
+237 天
-5430 天
帖子存档
71 062
📂 Full description
Many people who work on data science teams will become something other than data scientists. That said, many will become managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. In this course, get an introduction to data science for people who aren't planning on working as full-time data scientists. Explore big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, applying statistical analysis, asking critical questions, and telling stories about data. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field.
71 062
🔅 Learning Data Science
🌐 Author: Doug Rose
🔰 Level: Intermediate
⏰ Duration: 2h 45m
🌀 Get an introduction to data science in this course designed for aspiring professionals in project management and leadership.📗 Topics: Data Visualization, Data Literacy, Big Data Analytics 📤 Join Data Analysis for more courses
71 062
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71 062
📖 7 must-know strategies to scale your database.
1 - Indexing:
Check the query patterns of your application and create the right indexes.
2 - Materialized Views:
Pre-compute complex query results and store them for faster access.
3 - Denormalization:
Reduce complex joins to improve query performance.
4 - Vertical Scaling
Boost your database server by adding more CPU, RAM, or storage.
5 - Caching
Store frequently accessed data in a faster storage layer to reduce database load.
6 - Replication
Create replicas of your primary database on different servers for scaling the reads.
7 - Sharding
Split your database tables into smaller pieces and spread them across servers. Used for scaling the writes as well as the reads.
71 062
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031k| 🔰 Linkedin Learning
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71 062
🔅 PREMIUM CHANNELS
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
125k| 🔰 Premium Udemy Courses
125k| 🔰 Web Development
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103k| 🔰 Learn Python
094k| 🔰 JavaScript Courses
074k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
058k| 🔰 Learn React and NextJs
054k| 🔰 Data Analysis and Databases
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049k| 🔰 Linux and DevOps
043k| 🔰 Best Telegram Channels
042k| 🔰 100 Days of Python
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039k| 🔰 Business Training
038k| 🔰 ChatGPT Mastery
035k| 🔰 Mobile Development
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034k| 🔰 Zero to Mastery
032k| 🔰 Udemy Learning
031k| 🔰 Codedamn Courses
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030k| 🔰 Linkedin Learning
030k| 🔰 React 101
029k| 🔰 Crypto Lessons
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025k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
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🔰 Add Your Channel
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🔰 2hrs on top & 8hrs in channel!
71 062
🔅 PREMIUM CHANNELS
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
125k| 🔰 Premium Udemy Courses
124k| 🔰 Web Development
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102k| 🔰 Learn Python
093k| 🔰 JavaScript Courses
074k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
058k| 🔰 Learn React and NextJs
053k| 🔰 Data Analysis and Databases
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048k| 🔰 Linux and DevOps
043k| 🔰 Best Telegram Channels
042k| 🔰 100 Days of Python
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039k| 🔰 Business Training
038k| 🔰 ChatGPT Mastery
035k| 🔰 Mobile Development
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033k| 🔰 Zero to Mastery
032k| 🔰 Udemy Learning
031k| 🔰 Codedamn Courses
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030k| 🔰 Linkedin Learning
030k| 🔰 React 101
029k| 🔰 Crypto Lessons
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025k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
71 062
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
217k| 🔰 Linkedin Learning Courses
125k| 🔰 Premium Udemy Courses
124k| 🔰 Web Development
-◦-◦--◦-
102k| 🔰 Learn Python
093k| 🔰 JavaScript Courses
073k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
058k| 🔰 Learn React and NextJs
053k| 🔰 Data Analysis and Databases
-◦-◦--◦-
048k| 🔰 Linux and DevOps
043k| 🔰 Best Telegram Channels
042k| 🔰 100 Days of Python
-◦-◦--◦-
039k| 🔰 Business Training
037k| 🔰 ChatGPT Mastery
035k| 🔰 Mobile Development
-◦-◦--◦-
033k| 🔰 Zero to Mastery
031k| 🔰 Udemy Learning
031k| 🔰 Codedamn Courses
-◦-◦--◦-
030k| 🔰 Linkedin Learning
030k| 🔰 React 101
029k| 🔰 Crypto Lessons
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024k| 🔰 Coding Interview
022k| 🔰 Telegram's Shorts
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🔰 2hrs on top & 8hrs in channel!
