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

网络:Data Analytics 印度7 187 教育3 352...

📈 Telegram 频道 Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources 的分析概览

📊 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

3 314

帖子浏览量

~ 65424 小时

~ 90248 小时

6.39%

参与率

无数据

每日帖子数

Ads index

beta

帖子存档

51 872

Complete Python Guide 💯.pdf8.20 KB

51 872

50 Algorithms Every Programmer Should Know Imran Ahmad, 2023

51 872

Microsoft hiring data analysts 👇👇 https://t.me/jobs_SQL/159

51 872

https://www.linkedin.com/posts/sql-analysts_need-to-learn-sql-but-dont-want-to-spend-activity-7130075632184508417-PKrc?utm_source=share&utm_medium=member_android

51 872

Ultimate Resume & Interview Guide https://www.linkedin.com/posts/sql-analysts_resume-tips-activity-7130056771062153217-ZSsJ?utm_source=share&utm_medium=member_android Like if it really helps you. It takes a lot of efforts in posting content for you guys ❤️😄

51 872

Microsoft Azure AI Fundamentals Certification Companion Krunal S. Trivedi, 2023

51 872

Free resume guide from Harvard 👇👇 https://www.linkedin.com/posts/sql-analysts_harvard-resume-and-cv-career-guide-activity-7129694373688070144-RS2m Like and comment on this post so that it reaches more jobseekers 😄👍 Save it for your future reference

51 872

Advanced Data Science and Analytics with Python Автор: Jesus Rogel-Salazar

51 872

Our new channel - Datasets repositories for Data Science Projects 👇👇 https://t.me/DataPortfolio

51 872

Sharing SMS is a modern rent platform that allows you to provide your SIM cards for rent and make passive income daily. Sharing SMS works for a multi-purpose audience ranging from teenage gamers to seasoned professionals who want to become a provider and earn money using a few things: a stable internet connection, a cellphone and a charger. Other than that, you are required to have a SIM card with access to receive SMS. That's it. Easy peasy lemon squeezy. Sharing SMS is a new platform for earning. Become our partner, rent out your numbers and earn money. https://betasms.net/earn-money

51 872

SQL vs Python SQL is great for managing and querying structured databases, especially when dealing with large datasets. It excels in tasks like filtering, sorting, and aggregating data. Python, on the other hand, is a versatile programming language used for a broader range of tasks. In the context of data, Python is powerful for data manipulation, analysis, and machine learning. It offers libraries like Pandas for data manipulation, NumPy for numerical operations, and Scikit-Learn for machine learning. In summary, SQL is essential for efficient database querying, while Python provides a more comprehensive solution for various data-related tasks, making them often used together in data-related workflows. SQL Practice Questions with Answers -> https://t.me/learndataanalysis/596 Python Roadmap for Data Analysts -> https://t.me/pythonfreebootcamp/207

51 872

Data Analysis vs Data Science Data analysis often focuses on interpreting and summarizing existing data, requiring skills like statistical analysis, SQL, and data visualization. On the other hand, data science involves a broader set of skills, including machine learning, predictive modeling, and advanced programming. In essence, data analysis is a subset of data science, with data scientists often having a more extensive toolkit for handling complex and unstructured data. Free Resources to become data analyst -> https://www.linkedin.com/posts/sql-analysts_freecertificates-dataanalysts-python-activity-7113004712412524545-Uw4k Steps to become data scientist -> https://t.me/learndataanalysis/559

51 872

Thank you so much guys for reposting content from our channel to other data aspirants❤️

51 872

Unlimited access to data science courses for till Nov 20 👇👇 https://www.linkedin.com/posts/sql-analysts_datascience-dataanalytics-activity-7128217526924177408-0DtE Like for more 👍❤️

51 872

Complete Power BI Book 👇👇 https://www.linkedin.com/posts/sql-analysts_power-bi-book-sqlspecialist-activity-7128010834630369280-AQAR Like & Share the post with more data aspirants 👍

51 872

100 MS Excel Useful Shortcuts 👇👇 https://t.me/excel_analyst/53

51 872

SQL Practice Questions with Answers Those who are at beginner and intermediate level in sql should try to solve all these question

51 872

Free Data sets for Data Science Projects & Portfolio 👇👇 https://t.me/DataPortfolio

51 872

Credit Card Data Analysis Project 👇👇 https://t.me/sqlproject/59