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 70 805 名订阅者，在 教育 类别中位列第 2 274，并在 印度 地区排名第 4 582 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 70 805 名订阅者。
根据 25 八月, 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 -309，过去 24 小时变化为 -33，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 12.05%。内容发布后 24 小时内通常能获得 2.78% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 8 533 次浏览，首日通常累积 1 972 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 26 八月, 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。
70 805
订阅者
-3324 小时
-1127 天
-30930 天
帖子存档
70 805
🔅 Data Literacy: Exploring and Describing Data
📝 Learn the fundamentals of data fluency and how data can help you make better decisions.
🌐 Author: Barton Poulson
🔰 Level: Beginner
⏰ Duration: 5h 14m
📋 Topics: Data Science
🔗 Join Data Science for more courses
70 805
🔅 Advanced Spatial Data Visualization in Python
📝 Discover advanced techniques in spatial data visualization with Python. Learn how to create interactive, 3D, and temporal map visualizations to tell more engaging spatial stories.
🌐 Author: Milan Janosov, Ph.D.
🔰 Level: Advanced
⏰ Duration: 1h 39m
📋 Topics: Data Visualization, Spatial Analysis, Spatial Modeling
🔗 Join Data Science for more courses
70 805
🔅 Build with AI: SQL Agents with Large Language Models
📝 Learn how to build an AI SQL agent from scratch using Python and different LLM frameworks.
🌐 Author: Rami Krispin
🔰 Level: Beginner
⏰ Duration: 1h 6m
📋 Topics: Large Language Models, SQL, Artificial Intelligence
🔗 Join Data Science for more courses
70 805
Array Data Structure Explained
Arrays are one of the most fundamental data structures in programming.
In this short video, you’ll learn how arrays store elements in contiguous memory, how indexing works, and why arrays are fast and efficient for data access.
🔹 What is an Array?
🔹 Indexing & Memory Representation
🔹 Real-world visualization
🔹 Arrays vs Python Lists
Perfect for beginners, CS students, and interview prep 🚀
Understand the concept clearly with a colorful, professional visual explanation.
70 805
🗓️ Your Pandas Cheat Sheet Is Here!
If you’re learning Data Science or working with data daily, this one’s a lifesaver.
I’ve put together the most essential Pandas commands you’ll use for:
✔️ Cleaning data
✔️ Filtering rows
✔️ Merging tables
✔️ Aggregations
✔️ Window functions
...and much more.
