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 70 778 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 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 70 778 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 天
-31730 天
帖子存档
70 778
📖 Most important SQL commands
These key SQL commands are the basics you need to handle and organize data like a pro.
70 778
📖 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 👍👍
70 778
🔅 Excel: Introduction to Formulas and Functions
🌐 Author: Curt Frye
🔰 Level: Intermediate
⏰ Duration: 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
