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Microsoft Excel for Finance & Data Analytics

Microsoft Excel for Finance & Data Analytics

前往频道在 Telegram

📈 Telegram 频道 Microsoft Excel for Finance & Data Analytics 的分析概览

频道 Microsoft Excel for Finance & Data Analytics (@excel_data) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 412 名订阅者,在 教育 类别中位列第 18 739,并在 印度 地区排名第 37 179

📊 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 10 412 名订阅者。

根据 26 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 263,过去 24 小时变化为 2,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 16.77%。内容发布后 24 小时内通常能获得 4.88% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 745 次浏览,首日通常累积 508 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 13
  • 主题关注点: 内容集中在 cell, excel, workbook, row, shift 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:
Free Resources to learn Microsoft Excel for Finance & Data Analytics Buy ads: https://telega.io/c/excel_data

凭借高频更新(最新数据采集于 27 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。

10 412
订阅者
+224 小时
+577
+26330
帖子存档
How to create a new workbook 1. Do any of the following: • If Excel is not running, start Excel, and then on the Start screen
How to create a new workbook 1. Do any of the following: • If Excel is not running, start Excel, and then on the Start screen, double-click Blank workbook. • If Excel is already running, click the File tab of the ribbon, click New to display the New page of the Backstage view, and then double-click Blank workbook. • If Excel is already running, press Ctrl+N. To save a workbook under a new name or in a new location 1. Display the Backstage view, and then click Save As. 2. On the Save As page of the Backstage view, click the folder where you want to save the workbook. 3. In the Save As dialog box, in the File name box, enter a new name for the workbook. 4. To save the file in a different format, in the Save as type list, click a new file type. 5. If necessary, use the navigation controls to move to a new folder. 6. Click Save.

Top Excel Formulas Every Data Analyst Should Know SUM(): Purpose: Adds up a range of numbers. Example: =SUM(A1:A10) AVERAGE(): Purpose: Calculates the average of a range of numbers. Example: =AVERAGE(B1:B10) COUNT(): Purpose: Counts the number of cells containing numbers. Example: =COUNT(C1:C10) IF(): Purpose: Returns one value if a condition is true, and another if false. Example: =IF(A1 > 10, "Yes", "No") VLOOKUP(): Purpose: Searches for a value in the first column and returns a value in the same row from another column. Example: =VLOOKUP(D1, A1:B10, 2, FALSE) HLOOKUP(): Purpose: Searches for a value in the first row and returns a value in the same column from another row. Example: =HLOOKUP("Sales", A1:F5, 3, FALSE) INDEX(): Purpose: Returns the value of a cell based on row and column numbers. Example: =INDEX(A1:C10, 2, 3) MATCH(): Purpose: Searches for a value and returns its position in a range. Example: =MATCH("Product B", A1:A10, 0) CONCATENATE() or CONCAT(): Purpose: Joins multiple text strings into one. Example: =CONCATENATE(A1, " ", B1) TEXT(): Purpose: Formats numbers or dates as text. Example: =TEXT(A1, "dd/mm/yyyy") Excel Resources: t.me/excel_data I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Like this post for more content like this 👍♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

Only the first 150 people will be admitted to the group where the best quality signals are shared 🔥🔥 I personally recommend
Only the first 150 people will be admitted to the group where the best quality signals are shared 🔥🔥 I personally recommend you to participate 👇 https://t.me/+LtTG49-GDoJjNjRi Also don't miss the VIP GROUP where additional signals are shared 💎🔥👇🏻 https://t.me/+LtTG49-GDoJjNjRi

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