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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 70 805 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

📊 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 70 805 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
-30930
帖子存档
📱Data Science 📱Excel Data Analysis for Supply Chain: Forecasting

📱Data Science 📱Excel Data Analysis for Supply Chain: Forecasting

📱Data Science 📱Excel Data Analysis for Supply Chain: Forecasting

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80% of data science is just cleaning. Here is how to do it right. 🧹📊 Most beginners rush to build models, but seasoned expe
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Most beginners rush to build models, but seasoned experts know the real work happens before the training starts. If your data is messy, your advanced algorithms are useless.
This guide breaks down the two biggest enemies of clean data: 1⃣ Missing Values: These create gaps and bias. You can fix them by removing rows or filling them with the mean, median, or mode. 🔢 Outliers: Extreme values that distort reality. Detect them using Z-scores or IQR, then cap or transform them. The Payoff: In real-world projects, proper cleaning can boost model accuracy by 8% or more.
💡 Pro Tip: Always visualize your data first. A simple plot often reveals issues that raw numbers hide.

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👑 15 SQL Coding Questions All Interviewer Asks

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🔵Types of Database
🔵Types of Database

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📦 Exercise Files

📱Data Science 📱From Excel to SQL

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