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Data Science

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

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📈 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 70 778 名订阅者,在 教育 类别中位列第 2 259,并在 印度 地区排名第 4 564

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 70 778 名订阅者。

根据 27 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 -317,过去 24 小时变化为 -15,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 11.42%。内容发布后 24 小时内通常能获得 2.47% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 8 084 次浏览,首日通常累积 1 749 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 28 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。

70 778
订阅者
-1524 小时
-1477
-31730
帖子存档
📖 Most important SQL commands These key SQL commands are the basics you need to handle and organize data like a pro.
📖 Most important SQL commands
These key SQL commands are the basics you need to handle and organize data like a pro.

📖 30 days roadmap to learn Python for Data Analysis 😄👇 Days 1-5: Introduction to Python 1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook). 2. Day 2-5: Learn Python basics (variables, data types, and basic operations). Days 6-10: Control Flow and Functions 6. Day 6-8: Study control flow (if statements, loops). 9. Day 9-10: Learn about functions and modules in Python. Days 11-15: Data Structures 11. Day 11-12: Explore lists, tuples, and dictionaries. 13. Day 13-15: Study sets and string manipulation. Days 16-20: Libraries for Data Analysis 16. Day 16-17: Get familiar with NumPy for numerical operations. 18. Day 18-19: Dive into Pandas for data manipulation. 20. Day 20: Basic data visualization with Matplotlib. Days 21-25: Data Cleaning and Analysis 21. Day 21-22: Data cleaning and preprocessing using Pandas. 23. Day 23-25: Exploratory data analysis (EDA) techniques. Days 26-30: Advanced Topics 26. Day 26-27: Introduction to data visualization with Seaborn. 27. Day 28-29: Introduction to machine learning with Scikit-Learn. 30. Day 30: Create a small data analysis project. Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems. ENJOY LEARNING 👍👍

📖 Types of Data Structures
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📖 Types of Data Structures

📱Data Analysis and Databases 📱Excel: Introduction to Formulas and Functions

🔅 Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye 🔰 Level: Intermediate ⏰ Duration: 1h 54m 🌀 Get a begi
🔅 Excel: Introduction to Formulas and Functions 🌐 Author: Curt Frye 🔰 Level: IntermediateDuration: 1h 54m
🌀 Get a beginner-level introduction to Excel formulas and functions. Learn how to summarize and analyze data using these powerful data analysis features.
📗 Topics: Excel Formulas, Microsoft Excel 📤 Join Data Analysis and Databases for more courses

🔢 PostgresSQL CRUD tutorial
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🔢 PostgresSQL CRUD tutorial

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🖥 Data Storytelling

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🖥 Keys in SQL

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🖥 SQL Mindmap

🖥 Roadmap to become Data Analyst
🖥 Roadmap to become Data Analyst

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