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Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

前往频道在 Telegram

Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

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📈 Telegram 频道 Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources 的分析概览

频道 Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 39 698 名订阅者,在 教育 类别中位列第 4 591,并在 印度 地区排名第 9 708

📊 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 39 698 名订阅者。

根据 29 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 36,过去 24 小时变化为 17,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 1.87%。内容发布后 24 小时内通常能获得 0.73% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 744 次浏览,首日通常累积 290 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 主题关注点: 内容集中在 analytic, dataset, visualization, sql, learning 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:
Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

凭借高频更新(最新数据采集于 30 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。

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39 698
订阅者
+1724 小时
-137
+3630
帖子存档
In 2024, mastering data science is expected to blend conventional educational methods with innovative approaches. Here are the steps to learn data science in 2024: Enroll in a data science program: Whether it's at a university or through online platforms, find a program covering machine learning, statistics, and data visualization. Take online courses: Utilize platforms like Udacity, Udemy, or DataCamp to learn specific data science skills. Engage in data science competitions: Join competitions on platforms like Kaggle to apply your skills to real-world problems and learn from others. Connect with data science communities: Participate in forums, attend meetups, or join social media groups to network and learn from experienced data scientists. Keep up with industry trends: Stay informed about the latest developments in data science by following blogs, podcasts, and industry publications. Build a portfolio: Create projects to showcase your data science abilities and demonstrate your skills to potential employers or clients. Happy learning! 👍👍 Share your responses to this 👍❤️

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