Data Science & Machine Learning Resources

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网络:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert 印度21 627 教育9 831...

📈 Telegram 频道 Data Science & Machine Learning Resources 的分析概览

频道 Data Science & Machine Learning Resources (@datalemur) 英语语言赛道中的是活跃参与者。目前社区聚集了 20 461 名订阅者，在教育类别中位列第 9 831，并在印度地区排名第 21 627 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 20 461 名订阅者。

根据 10 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 199，过去 24 小时变化为 6，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 1.71%。内容发布后 24 小时内通常能获得 0.85% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 350 次浏览，首日通常累积 174 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 7。
主题关注点： 内容集中在 |--, learning, insidead, database, sql 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：
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free Admin: @love_data Buy ads: https://telega.io/c/datalemur”

凭借高频更新（最新数据采集于 11 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。

20 461

订阅者

+624 小时

+417 天

+19930 天

350

帖子浏览量

~ 17424 小时

~ 22048 小时

1.71%

参与率

无数据

每日帖子数

Ads index

beta

数据加载中...

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日期	订阅者增长	提及	频道
11 六月	+4
10 六月	+6
09 六月	+3
08 六月	+3
07 六月	+10
06 六月	+5
05 六月	+7
04 六月	+15
03 六月	+5
02 六月	+3
01 六月	0

频道帖子

Data Science Interview Questions.pdf1.42 MB

2	SQL vs Python Programming: Quick Comparison ✍ 📌 SQL Programming • Query data from databases • Filter, join, aggregate rows Best fields • Data Analytics • Business Intelligence • Reporting and MIS • Entry-level Data Engineering Job titles • Data Analyst • Business Analyst • BI Analyst • SQL Developer Hiring reality • Asked in most analyst interviews • Used daily in analyst roles India salary range • Fresher: 4–8 LPA • Mid-level: 8–15 LPA Real tasks • Monthly sales report • Top customers by revenue • Duplicate removal 📌 Python Programming • Clean and analyze data • Automate workflows • Build models Where you work • Notebooks • Scripts • ML pipelines Best fields • Data Science • Machine Learning • Automation • Advanced Analytics Job titles • Data Scientist • ML Engineer • Analytics Engineer • Python Developer Hiring reality • Common in mid to senior roles • Strong demand in AI teams India salary range • Fresher: 6–10 LPA • Mid-level: 12–25 LPA Real tasks • Churn prediction • Report automation • File handling CSV, Excel, JSON ⚔️ Quick comparison • Data source SQL stays inside databases Python pulls data from anywhere • Speed SQL runs fast on large tables Python slows with raw big data • Learning SQL is beginner-friendly Python needs coding basics 🎯 Role-based choice • Data Analyst SQL required Python adds value • Data Scientist Python required SQL used to fetch data • Business Analyst SQL works for most roles Python helps automate work • Data Engineer SQL for pipelines Python for processing ✅ Best career move • Learn SQL first for entry • Add Python for growth • Use both in real projects Which one do you prefer? SQL 👍 Python ❤️ Both 🙏 None 😮	509
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