现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
前往频道在 Telegram
Data Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun
显示更多📈 Telegram 频道 Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources 的分析概览
频道 Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources (@learndataanalysis) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 51 872 名订阅者，在 教育 类别中位列第 3 352，并在 印度 地区排名第 7 187 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 51 872 名订阅者。
根据 17 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 506，过去 24 小时变化为 -5，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 6.39%。内容发布后 24 小时内通常能获得 1.26% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 3 314 次浏览，首日通常累积 654 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 6。
- 主题关注点： 内容集中在 analyst, |--, excel, visualization, analytic 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：
“Data Analysis Useful Resources
#dataanalysis
#dataanalysisbooks
#sqlbooks
#pythonbooks
#tableau
#powerbi
#datavisualization
For promotions: @coderfun”
凭借高频更新（最新数据采集于 18 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。
51 872
订阅者
-524 小时
+1227 天
+50630 天
帖子存档
Free Data sets for Data Science & Machine Learning Projects
👇👇
https://t.me/DataPortfolio
Statistics and Data Visualization in Climate Science with R.pdf35.54 MB
Nice to see amazing participation 😄❤️
Best practices for writing SQL queries:
Join for more: https://t.me/learndataanalysis
1- Write SQL keywords in capital letters.
2- Use table aliases with columns when you are joining multiple tables.
3- Never use select *, always mention list of columns in select clause.
4- Add useful comments wherever you write complex logic. Avoid too many comments.
5- Use joins instead of subqueries when possible for better performance.
6- Create CTEs instead of multiple sub queries , it will make your query easy to read.
7- Join tables using JOIN keywords instead of writing join condition in where clause for better readability.
8- Never use order by in sub queries , It will unnecessary increase runtime.
9- If you know there are no duplicates in 2 tables, use UNION ALL instead of UNION for better performance.
New Giveaway 500 TB Tutorials + Books + Courses + Trainings + Workshops + Educational Resources 😀
Data science Python Data Analytics AWS Certified BIG DATA BI Machine Learning and more..
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https://www.linkedin.com/posts/sql-analysts_python-datascience-aws-activity-7134053938898608128-TCyi?utm_source=share&utm_medium=member_android
EDA With Pandas.pdf0.94 KB
Avoid directly copying YouTube projects onto your resume because if everyone looks the same, recruiters might discard resumes.
Instead, for eg, let's say you are working on a SQL case study, download a dataset from Kaggle (usually a CSV file), set up a Postgre/MySQL database, connect it with the data, and prompt ChatGPT with questions ranging from basic to advanced SQL.
Solve the questions step by step. When using PowerBI, connect to the database and create a compelling dashboard. Don't just upload the dataset; employ DAX queries, statistical functions, and avoid relying solely on drag-and-drop features. Use Formatting section to do creative stuff and add your unique element in the project.
ENJOY LEARNING 👍👍
Python Data Science Projects For Boosting Your Portfolio
Fuzzy Data Matching with SQL
Jim Lehmer, 2023
Mission AI
Haroon Sheikh, 2023
Useful books to learn Python, C++ & other programming languages posted in this channel
👇👇
https://t.me/codingwithsagar
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Applied Geospatial Data Science with Python.pdf21.67 MB
Beginner-friendly Excel Book
R Programming for Beginners
Nathan Metzler, 2020
Data Analytics Using R
Serma Acharya, 2018
Repost from MS Excel for Data Analysis
Excel for Data Analysis
