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 71 067 名订阅者，在 教育 类别中位列第 2 281，并在 印度 地区排名第 4 735 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 71 067 名订阅者。
根据 06 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 -16，过去 24 小时变化为 26，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 11.78%。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 8 369 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 08 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。
71 067
订阅者
+2624 小时
+477 天
-1630 天
帖子存档
71 067
📂 Full description
Are you familiar with SQL? Do you know Python? Are you interested in understanding how these two languages work together? Then join Bill Weinman in this course as he shows the power of these two languages combined. Bill starts with some basics—connecting to a database, performing simple queries, and reading rows from a table. He covers how to use prepared statements and cursors, how to build a wrapper class to streamline the SQL interface and support multiple different database engines, and how to build a CRUD class and a full-featured web application using what you've learned. Many applications require a combination of SQL and Python, and after finishing Bills course, youll have a better understanding of why and how you can leverage the power of these two languages together.
71 067
🔅 Using SQL with Python
🌐 Author: Bill Weinman
🔰 Level: Intermediate
⏰ Duration: 1h 39m
🌀 If you already know SQL and Python, learn the power of using these two languages together.📗 Topics: SQL, Python 📤 Join Data Analysis and Databases for more courses
71 067
📱Data Analysis and Databases
📱Machine Learning and AI Foundations: Classification Modeling
71 067
🔅 Machine Learning and AI Foundations: Classification Modeling
🌐 Author: Keith McCormick
🔰 Level: Intermediate
⏰ Duration: 2h 5m
🌀 Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.📗 Topics: Machine Learning, Artificial Intelligence, Data Classification 📤 Join Data Analysis and Databases for more courses
71 067
🔅 Learning Digital Business Analysis
🌐 Author: Angela Wick
🔰 Level: Intermediate
⏰ Duration: 1h 26m
🌀 Discover how new digital technologies are changing traditional business models and processes. Learn what these changes mean and how to implement technologies and changes.📗 Topics: Business Analysis 📤 Join Data Analysis and Databases for more courses
71 067
📱Data Analysis and Databases
📱Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python
71 067
🔅 Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python
🌐 Author: Gwendolyn Stripling
🔰 Level: Intermediate
⏰ Duration: 1h 56m
🌀 Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language.📗 Topics: Generative AI, Deep Learning, Python 📤 Join Data Analysis and Databases for more courses
71 067
Which python library is not used specifically for data visualization?
71 067
📱Data Analysis and Databases
📱Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python
71 067
📱Data Analysis and Databases
📱More Python Tips, Tricks, and Techniques for Data Science
71 067
🔅 More Python Tips, Tricks, and Techniques for Data Science
🌐 Author: Harshit Tyagi
🔰 Level: Intermediate
⏰ Duration: 2h 15m
🌀 Deliver valuable insights to your users with Python. Get practical tips and techniques that can help you enhance your Python data science workflow.📗 Topics: Data Science, Python 📤 Join Data Analysis and Databases for more courses
