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Data Analytics

Data Analytics

前往频道在 Telegram

Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

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📈 Telegram 频道 Data Analytics 的分析概览

频道 Data Analytics (@sqlspecialist) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 109 733 名订阅者,在 技术与应用 类别中位列第 1 113,并在 印度 地区排名第 2 324

📊 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 109 733 名订阅者。

根据 27 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 610,过去 24 小时变化为 45,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 2.51%。内容发布后 24 小时内通常能获得 1.12% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 753 次浏览,首日通常累积 1 230 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 row, sql, analytic, analyst, visualization 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:
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

凭借高频更新(最新数据采集于 28 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。

109 733
订阅者
+4524 小时
+1667
+61030
帖子存档
Important Topics which you should know to learn SQL 👉Beginners Topics *DDL - Data Definition Language (Create Table,Drop Table,Truncate Table,Alter Table) *DML - Data Manipulation Language (Delete,Update,Insert into) *DQL vs TQL *Constraints (Check,Default,NOT NULL, UNIQUE, Primary key,and Foreign key) *Create and Drop DataBase * SQL Syntax ( SELECT, FROM, WHERE, ORDER BY, GROUP BY, HAVING, LIKE, CASE WHEN, SELECT DISTINCT, AND, OR, NOT, SELECT TOP, LIMIT) * Joins (Inner, Full, Left, Right, Self) & Union * Insert into - Values *Wildcards (%,_,[],^,-,#) *Aggregate functions (Min, Max, Sum,Avg, Count) * Other operators (IN, BETWEEN, ANY, AS, ALL, IFNULL, IsNull) *Data Types(String,DateTime,Number,Boolean) 👉Intermediate Topics *Functions (LEFT,RIGHT,LENGTH,TRIM,POSITION,STRPOS, SUBSTR, CONCAT, UPPER, LOWER, COALESCE) * Sub-queries * Views, Index and Comments * Window Functions (ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), LAG(), LEAD(), OVER, PARTITION BY, Alias) *Formatting Dates in SQL *Pivoting Data in SQL *Tuning SQL queries *Star Schema *Stored Procedures 👉👉 Free Useful Resources to start learning SQL https://t.me/programming_guide/287 https://www.codecademy.com/learn/learn-sql https://www.w3schools.com/sql/ https://www.hackerrank.com/domains/sql https://www.windowfunctions.com/ https://leetcode.com/problemset/database/ https://books.goalkicker.com/SQLBook/SQLNotesForProfessionals.pdf https://imp.i115008.net/WDvrQ3 https://t.me/sqlspecialist/45 https://mode.com/sql-tutorial/introduction-to-sql ENJOY LEARNING 👍👍

Which of the following is a virtual table based on the result-set of an SQL statement?
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Which of the following is not a window function in sql?
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Which of the following anomaly occurs when there is a new row inserted in the table and it creates the inconsistency in the table?
Anonymous voting

LeetCode SQL 👇👇 https://t.me/dsabooks/28?single

Which of the following anomalies occur when modifying data in a database can result in inconsistencies or error?
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Which of the following anomaly occur when deleting a record from a database can result in the unintentional loss of data?
Anonymous voting

Which of the following is a DCL command used to take back permissions from the user?
Anonymous voting

Which of the following is a DML command used to update data in an existing database table?
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Which of the following is a is a DDL command which changes or modifies the existing structure of the database, and it also changes the schema of database objects?
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Which of the following helps us deal with controls, rights, and permission in the database system?
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Which of the following is not a DDL command in SQL?
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+1
python3-notes.pdf4.26 MB

Which of the following is immutable built-in type in python?
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Python Most Ask Interview Questions 👇👇 https://t.me/crackingthecodinginterview/629

1. What is Density-based Clustering? Density-Based Clustering is an unsupervised machine learning method that identifies different groups or clusters in the data space. These clustering techniques are based on the concept that a cluster in the data space is a contiguous region of high point density, separated from other such clusters by contiguous regions of low point density. Partition-based(K-means) and Hierarchical clustering techniques are highly efficient with normal-shaped clusters while density-based techniques are efficient in arbitrary-shaped clusters or detecting outliers. 2. How to create empty tables with the same structure as another table? To create empty tables: Using the INTO operator to fetch the records of one table into a new table while setting a WHERE clause to false for all entries, it is possible to create empty tables with the same structure. As a result, SQL creates a new table with a duplicate structure to accept the fetched entries, but nothing is stored into the new table since the WHERE clause is active. 3. What is a Parameter in Tableau? Give an Example. A parameter is a dynamic value that a customer could select, and you can use it to replace constant values in calculations, filters, and reference lines. For example, when creating a filter to show the top 10 products based on total profit instead of the fixed value, you can update the filter to show the top 10, 20, or 30 products using a parameter. 4. How will you write the formula for the following in Excel? - Multiply the value in cell A1 by 10, add the result by 5, and divide it by 2. To write a formula for the above-stated question, we have to follow the PEDMAS Precedence. The correct answer is ((A1*10)+5)/2. Answers such as =A1*10+5/2 and =(A1*10)+5/2 are not correct. We must put parentheses brackets after a particular operation. 5. How can you remove duplicate values in a range of cells? 1. To delete duplicate values in a column, select the highlighted cells, and press the delete button. After deleting the values, go to the ‘Conditional Formatting’ option present in the Home tab. Choose ‘Clear Rules’ to remove the rules from the sheet. 2. You can also delete duplicate values by selecting the ‘Remove Duplicates’ option under Data Tools present in the Data tab.

Which of the following is join operation where a table is joined with itself?
Anonymous voting

SQL Handwritten Notes 👇👇 https://t.me/learndataanalysis/352

The best way to learn about AI is to build real projects with it. When you build, you learn what’s valuable and what’s not. Use GitHub, Kaggle, paperswithcode, YouTube tutorial and build a strong foundation around it. Develop a solid skillset and always remember there is no alternative to practice and hard work 💪