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 70 985 名订阅者，在 教育 类别中位列第 2 262，并在 印度 地区排名第 4 575 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 70 985 名订阅者。
根据 26 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 -11，过去 24 小时变化为 -29，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 10.67%。内容发布后 24 小时内通常能获得 2.43% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 7 573 次浏览，首日通常累积 1 723 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 27 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。
70 985
订阅者
-2924 小时
-537 天
-1130 天
帖子存档
70 984
🔅 Advanced Python: Top Tools for Data Science and Engineering
📝 This comprehensive course is designed to equip you with the essential skills for data analysis and application development using Python and popular data tools and libraries.
🌐 Author: Joe Marini
🔰 Level: Intermediate
⏰ Duration: 2h 5m
📋 Topics: Pandas, Data Engineering, Data Science
🔗 Join Data Science for more courses
70 984
Key Pandas Functions for Data Importing, Cleaning, and Statistics. Boost your data analysis workflow with essential Python commands
70 984
🔢 Data Cleaning Tips Every Analyst Should Know
If your analysis feels off, it’s probably your data.
These 5 tips will help you clean your dataset like a pro:
✔️ Handle missing values
✔️ Remove duplicates
✔️ Fix data types
✔️ Standardize formats
✔️ Detect and remove outliers
Clean data = better insights = better decisions.
70 984
🔅 Data Science Reporting with Quarto for Python
📝 Leverage the power of Quarto to build publication-quality reports, engaging presentation decks, and rich interactive webpages from Jupyter Notebook for Python.
🌐 Author: Charlie Joey Hadley
🔰 Level: Intermediate
⏰ Duration: 2h 26m
📋 Topics: Data Reporting, Data Science, Data Analytics
🔗 Join Data Science for more courses
70 984
🔅 Decision Intelligence: Data Stories
📝 Learn how to use key lessons from famous data stories around the world to improve decision-making, interpret data effectively, and communicate insights responsibly.
🌐 Author: Franz Buscha
🔰 Level: Beginner
⏰ Duration: 45m
📋 Topics: Data Science, Decision Sciences, Data-driven Decision Making
🔗 Join Data Science for more courses
70 984
📖 Learn Database
Databases power everything from websites and apps to enterprise systems. Here’s a learning map that can help you master databases:
1 - Database Fundamentals
This includes topics like “What is a database”, RDBMS, SQL vs NoSQL, ACID vs BASE, OLTP vs OLAP, Transactions, and Isolation Levels.
2 - Data Models and Types
Consists of topics like Relational Databases, Non-Relational Databases, and Data Types (Integer, String, Boolean, Date, JSON, etc).
3 - Querying and Language
This includes topics like SQL Basics (SELECT, INSERT, etc), Advanced SQL (Views, Indexes, CTEs, etc), and NoSQL Querying (Aggregation and Key-Value Lookups).
4 - Indexing and Optimization
Consists of topics like Indexing (B-Tree, Hash, and Bitmaps), Query Execution Plans, Denormalization vs Normalization, Sharding, Connecting Pooling, and Query Batching.
5 - Security, Backups, and Scaling
This includes topics like User Roles, Permissions, Encryption, SQL Injection, High Availability (Replication and Failover), Horizontal vs Vertical Scaling.
6 - Tools and Ecosystem
Consists of topics like Popular SQL Databases, NoSQL Database, GUI Tools, ORMs, Cloud DB services (RDS, DynamoDB, Google Cloud SQL, etc.)
70 984
Do you know the real difference between Data Engineering vs. Data Scientists vs. Data Analysts?
