现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Data Analytics
前往频道在 Telegram
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Data Analytics 的分析概览
频道 Data Analytics (@dataanalyticsx) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 29 023 名订阅者，在 技术与应用 类别中位列第 4 713，并在 俄罗斯 地区排名第 22 707 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 29 023 名订阅者。
根据 18 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 521，过去 24 小时变化为 8，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 2.83%。内容发布后 24 小时内通常能获得 1.16% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 822 次浏览，首日通常累积 338 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 3。
- 主题关注点： 内容集中在 sellerflash, buybox, buyer, chaos, effortless 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：
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新（最新数据采集于 19 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 技术与应用 类别中的关键影响点。
29 023
订阅者
+824 小时
+817 天
+52130 天
帖子存档
29 020
Repost from Learn Python Coding
📚 Data Governance (2021)
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29 020
📚 Data Visualization with Python for Beginners (2021)
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29 020
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This very important book has become available on our premium channel
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29 020
Repost from Learn Python Coding
📚 PyTorch Pocket Reference (2022)
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29 020
📚 Information-theoretic Cryptography (2023)
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📚 Scaling Python with Dask (2023)
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📚 Learning Algorithms (2021)
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29 020
📚 Data Analytics Made Easy (2022)
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💬 Tags: #dataanalysis
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29 020
📚 Data Analysis and Machine Learning with Kaggle (2022)
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📚 Introduction to Statistical and Machine Learning Methods for Data Science (2021)
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29 020
🎥 Master in Python Language Quickly Using the ChatGPT Open AI
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29 020
📚 SQL Pocket Guide (2021)
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💬 Tags: #SQL
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29 020
Repost from ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
Automated Machine Learning for Beginners (Google & Apple)
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29 020
📚 Grokking machine learning (2022)
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📚 Machine Learning Cookbook with Python (2021)
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29 020
📚 Machine Learning with Python Tutorial (2021)
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29 020
📚 Springer Handbook of Augmented Reality (2023)
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29 020
📚 Machine Learning Design Patterns (2021)
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