Microsoft Excel for Finance & Data Analytics

Open in Telegram

Free Resources to learn Microsoft Excel for Finance & Data Analytics Buy ads: https://telega.io/c/excel_data

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India36 889 Education18 821...

📈 Analytical overview of Telegram channel Microsoft Excel for Finance & Data Analytics

Channel Microsoft Excel for Finance & Data Analytics (@excel_data) in the English language segment is an active participant. Currently, the community unites 10 425 subscribers, ranking 18 821 in the Education category and 36 889 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 425 subscribers.

According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 208 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 17.13%. Within the first 24 hours after publication, content typically collects 4.87% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 785 views. Within the first day, a publication typically gains 508 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 12.
Thematic interests: Content is focused on key topics such as cell, excel, workbook, row, shift.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Free Resources to learn Microsoft Excel for Finance & Data Analytics Buy ads: https://telega.io/c/excel_data”

Thanks to the high frequency of updates (latest data received on 02 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

10 425

Subscribers

+624 hours

+187 days

+20830 days

1 785

Post views

~ 50824 hours

~ 68548 hours

17.13%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

10 424

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.

10 424

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 :)

10 424

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

10 424

Ad 👇👇

10 424

🔗 Excel fundamentals full guide ✅ React 💡 for more ❤️

10 424

Excel Cheatsheet

10 424

Excel formulas every data analyst should know

10 424

Excel for Data Analysis

10 424

Excel.pdf1.35 MB

10 424

Microsoft Excel & Business Data Analysis ✅

10 424

Excel for Data Analysis

10 424

𝐌𝐒_𝐄𝐱𝐜𝐞𝐥_𝐋𝐞𝐜𝐭𝐮𝐫𝐞_𝐍𝐨𝐭𝐞𝐬_!_📊_1.pdf1.69 MB

10 424

Friends, I hope this will be helpful to all of you for vba learning.

10 424

𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭_𝐄𝐱𝐜𝐞𝐥_𝐅𝐨𝐫_𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬!_.pdf2.26 MB

10 424

Microsoft_Excel_Professional_2021_Guide_CA_Manmeet_Singh_Mehta.epub27.47 MB

10 424

Excel.pdf1.35 MB

10 424

Microsoft Excel & Business Data Analysis ✅

10 424

Excel shortcuts.pdf1.72 KB

10 424

Microsoft_Excel_Professional_2021_Guide_CA_Manmeet_Singh_Mehta.epub27.47 MB

10 424

Data Analysis with MS Excel