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
71 064
🌟 Are you exploring Data Roles, because this post will help you in identifying a unique focus to each Data Role.
Whether you're into Data Engineering's backbone building or Data Science's advanced modeling, there's a place for everyone in the data world. ✨
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📖 The Complete SQL Bootcamp: Go from Zero to Hero
🌟 4.7 - 223280 votes 💰 Original Price: $74.99
📖 You'll learn how to read and write complex queries to a database using one of the most in demand skills - PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more. Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!🔊 Taught By: Jose Portilla, Pierian Training 📤 Download Full Course 📤 Download All Courses
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📖 Most important SQL commands
These key SQL commands are the basics you need to handle and organize data like a pro.
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📖 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 👍👍
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🔅 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
