MS Excel for Data Analysis
✅ Learn Basic & Advaced Ms Excel concepts for data analysis ✅ Learn Tips & Tricks Used in Excel ✅ Become An Expert ✅ Use The Skills Learnt Here In Your Career For promotions: @love_data
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام MS Excel for Data Analysis
تُعد قناة MS Excel for Data Analysis (@excel_analyst) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 73 128 مشتركاً، محتلاً المرتبة 2 186 في فئة التعليم والمرتبة 4 321 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 73 128 مشتركاً.
بحسب آخر البيانات بتاريخ 05 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 570، وفي آخر 24 ساعة بمقدار 31، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.37%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.24% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 463 مشاهدة. وخلال اليوم الأول يجمع عادةً 905 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 8.
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يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“✅ Learn Basic & Advaced Ms Excel concepts for data analysis
✅ Learn Tips & Tricks Used in Excel
✅ Become An Expert
✅ Use The Skills Learnt Here In Your Career
For promotions: @love_data”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 06 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
جاري تحميل البيانات...
| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 06 أكتوبر | +21 | |||
| 05 أكتوبر | +31 | |||
| 04 أكتوبر | +37 | |||
| 03 أكتوبر | +25 | |||
| 02 أكتوبر | +26 | |||
| 01 أكتوبر | +46 |
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| 3 | 📊 Excel Shortcuts — Part 2
This part focuses on Navigation & Selection shortcuts — especially useful when working with large datasets.
🟢 Navigation Shortcuts
1️⃣ Arrow Keys → Move one cell
2️⃣ Ctrl + Arrow Key → Jump to the edge of a data region
3️⃣ Home → Move to the beginning of the row
4️⃣ Ctrl + Home → Go to the beginning of the worksheet
5️⃣ Ctrl + End → Go to the last used cell
6️⃣ Page Up → Move one screen up
7️⃣ Page Down → Move one screen down
8️⃣ Alt + Page Up → Move one screen left
9️⃣ Alt + Page Down → Move one screen right
🔟 F5 → Open Go To
🔵 Selection Shortcuts
1️⃣1️⃣ Shift + Arrow Key → Extend selection by one cell
1️⃣2️⃣ Ctrl + Shift + Arrow Key → Select data up to the edge of a data region
1️⃣3️⃣ Ctrl + Space → Select the entire column
1️⃣4️⃣ Shift + Space → Select the entire row
1️⃣5️⃣ Ctrl + A → Select the current data region / all data
1️⃣6️⃣ Ctrl + Shift + Space → Select the entire worksheet
💡 Real-World Example
Imagine you have 50,000 rows of sales data.
Instead of scrolling manually:
Ctrl + ↓ → Jump to the bottom of the data
Ctrl + ↑ → Jump back to the top
Ctrl + Shift + ↓ → Select data down to the end
Ctrl + Space → Select the entire column
Shift + Space → Select the entire row
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| 5 | 📊 Excel Shortcuts — Part 1
Master these basic shortcuts first. They will save time every day when working with Excel.
🟢 File & Workbook Shortcuts
1️⃣ Ctrl + N → Create a new workbook
2️⃣ Ctrl + O → Open a workbook
3️⃣ Ctrl + S → Save the workbook
4️⃣ Ctrl + Shift + S → Save As
5️⃣ Ctrl + P → Print
6️⃣ Ctrl + W → Close the current workbook
🔵 Editing Shortcuts
7️⃣ Ctrl + C → Copy
8️⃣ Ctrl + X → Cut
9️⃣ Ctrl + V → Paste
🔟 Ctrl + Z → Undo
1️⃣1️⃣ Ctrl + Y → Redo / Repeat
1️⃣2️⃣ F2 → Edit the active cell
1️⃣3️⃣ Delete → Clear the contents of selected cells
🟣 Find & Select
1️⃣4️⃣ Ctrl + F → Find
1️⃣5️⃣ Ctrl + H → Find & Replace
1️⃣6️⃣ Ctrl + A → Select the current data region / all data
1️⃣7️⃣ Esc → Cancel the current action or entry
💡 Double Tap ❤️ For More
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1.24 ₽ · /balance_help | 2 346 |
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| 7 | 📊 Excel Formulas — Part 8
This part focuses on Advanced Calculation Functions — useful for working with filtered data, multiple calculations, and large datasets.
1️⃣ SUBTOTAL
Performs calculations while respecting filtered or hidden rows depending on the function number.
=SUBTOTAL(9,B2:B100)
Here, 9 means SUM.
Common function numbers:
1 → AVERAGE
2 → COUNT
3 → COUNTA
9 → SUM
4 → MAX
5 → MIN
💡 Very useful when working with filtered tables.
2️⃣ AGGREGATE
Performs calculations while allowing you to ignore errors, hidden rows, or nested subtotals.
=AGGREGATE(9,5,B2:B100)
Here:
9 → SUM
5 → Ignore hidden rows
It supports functions such as:
• AVERAGE
• COUNT
• MAX
• MIN
• SUM
• LARGE
• SMALL
3️⃣ SUMPRODUCT
Multiplies corresponding values and then adds the results.
=SUMPRODUCT(B2:B10,C2:C10)
Example:
Product Price Quantity
Laptop 50000 2
Mouse 800 5
Keyboard 1500 3
=SUMPRODUCT(B2:B4,C2:C4)
This calculates:
50000×2 + 800×5 + 1500×3
Result → 107,500
💡 Extremely useful for weighted calculations and business analysis.
4️⃣ LARGE
Returns the nth largest value.
=LARGE(B2:B10,1)
→ Largest value
=LARGE(B2:B10,2)
→ 2nd largest value
5️⃣ SMALL
Returns the nth smallest value.
=SMALL(B2:B10,1)
→ Smallest value
=SMALL(B2:B10,2)
→ 2nd smallest value
6️⃣ RANK.EQ
Returns the rank of a number within a dataset.
=RANK.EQ(B2,$B$2:$B$10,0)
0 → Highest value gets rank 1
1 → Lowest value gets rank 1
Example:
Sales = 95000
Rank → 2
7️⃣ SUMPRODUCT + Conditions
SUMPRODUCT can also perform conditional calculations.
=SUMPRODUCT((A2:A10="East")*(B2:B10))
This calculates the total of values in column B where the region is East.
💡 Useful when you need flexible calculations without creating helper columns.
🧠 Quick Reference
SUBTOTAL → Calculations that work well with filtered data
AGGREGATE → Advanced calculations with options to ignore certain values
SUMPRODUCT → Multiply and sum corresponding values
LARGE → nth largest value
SMALL → nth smallest value
RANK.EQ → Rank values
SUMPRODUCT + Conditions → Flexible conditional calculations
💡 Practice
Using a sales dataset, try to calculate:
1.
Total visible sales → SUBTOTAL
2.
Average visible sales → SUBTOTAL
3.
Sum while ignoring hidden rows → AGGREGATE
4.
Total revenue from Price × Quantity → SUMPRODUCT
5.
3rd highest sale → LARGE
6.
2nd lowest sale → SMALL
7.
Rank each salesperson → RANK.EQ
8.
Total East-region sales → SUMPRODUCT
🔥 Double Tap ❤️ For More
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1.32 ₽ · /balance_help | 2 218 |
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| 9 | Excel Shortcuts | 2 313 |
| 10 | 📊 Excel Formulas — Part 6
This part focuses on Date & Time formulas — essential for reporting, deadlines, ageing analysis, trends, and time-based calculations.
1️⃣ TODAY
Returns the current date.
=TODAY()
• Example: Automatically display today's date.
2️⃣ NOW
Returns the current date and time.
=NOW()
• Example: Track when a workbook was last recalculated.
3️⃣ DATE
Creates a date from year, month, and day.
=DATE(2026,9,24)
• Result: 24-Sep-2026
4️⃣ YEAR
Extracts the year from a date.
=YEAR(A2)
• Example: 24-Sep-2026 → 2026
5️⃣ MONTH
Extracts the month number.
=MONTH(A2)
• Example: 24-Sep-2026 → 9
6️⃣ DAY
Extracts the day of the month.
=DAY(A2)
• Example: 24-Sep-2026 → 24
7️⃣ EOMONTH
Returns the last day of a month.
=EOMONTH(A2,0)
• If A2 is 24-Sep-2026 → Result: 30-Sep-2026
• You can also move between months:
• =EOMONTH(A2,1) → Last day of next month
8️⃣ DATEDIF
Calculates the difference between two dates.
=DATEDIF(A2,B2,"Y")
• Returns the number of complete years.
Other units:
• "Y" → Years
• "M" → Months
• "D" → Days
Example:
• =DATEDIF(A2,B2,"D") → Number of days between the dates.
9️⃣ DAYS
Returns the number of days between two dates.
=DAYS(B2,A2)
• Example:
• Start Date → 01-Sep-2026
• End Date → 24-Sep-2026
• Result → 23
🔟 NETWORKDAYS
Calculates the number of working days between two dates, excluding weekends.
=NETWORKDAYS(A2,B2)
• You can also exclude holidays:
• =NETWORKDAYS(A2,B2,E2:E10)
🧠 Quick Reference
• TODAY() → Current date
• NOW() → Current date + time
• DATE() → Create a date
• YEAR() → Extract year
• MONTH() → Extract month
• DAY() → Extract day
• EOMONTH() → Last day of month
• DATEDIF() → Difference between dates
• DAYS() → Number of days between dates
• NETWORKDAYS() → Working days between dates
💡 Practice
• Employee → Joining Date → End Date
• Rahul → 10-Jan-2022 → 24-Sep-2026
• Priya → 15-Mar-2023 → 24-Sep-2026
• Amit → 20-Jul-2024 → 24-Sep-2026
• Neha → 05-Feb-2025 → 24-Sep-2026
Try to calculate:
•
1. Joining year → YEAR
•
1. Joining month → MONTH
•
1. Joining day → DAY
•
1. Total days → DAYS
•
1. Completed years → DATEDIF
•
1. Working days → NETWORKDAYS
•
1. Month-end date → EOMONTH
❤️ Double Tap & React For Part 7!
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1.32 ₽ · /balance_help | 2 766 |
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| 13 | 📊 Excel Formulas — Part 5
This part focuses on Text Functions — essential for cleaning, extracting, and combining text in Excel.
1️⃣ LEFT
Extracts characters from the beginning of a text.
=LEFT(A2,5)
Example:
INDIA123 → INDIA
2️⃣ RIGHT
Extracts characters from the end of a text.
=RIGHT(A2,3)
Example:
INV123 → 123
3️⃣ MID
Extracts characters from the middle of a text.
=MID(A2,4,5)
Example:
EMP-12345 → 12345
4️⃣ LEN
Counts the number of characters in a text.
=LEN(A2)
Example:
Excel → 5
Spaces are also counted.
5️⃣ TRIM
Removes unnecessary spaces from text.
=TRIM(A2)
Example:
" John Smith " → "John Smith"
Very useful when cleaning imported data.
6️⃣ UPPER
Converts text to uppercase.
=UPPER(A2)
excel → EXCEL
7️⃣ LOWER
Converts text to lowercase.
=LOWER(A2)
EXCEL → excel
8️⃣ PROPER
Capitalizes the first letter of each word.
=PROPER(A2)
john smith → John Smith
9️⃣ CONCAT
Combines text from multiple cells.
=CONCAT(A2," ",B2)
Example:
A2 = John
B2 = Smith
Result → John Smith
🔟 TEXTJOIN
Combines multiple values using a delimiter.
=TEXTJOIN(", ",TRUE,A2:A5)
Example:
SQL, Excel, Power BI, Tableau
The TRUE tells Excel to ignore empty cells.
🧠 Quick Reference
LEFT → Extract from beginning
RIGHT → Extract from end
MID → Extract from middle
LEN → Count characters
TRIM → Remove extra spaces
UPPER → Convert to uppercase
LOWER → Convert to lowercase
PROPER → Capitalize words
CONCAT → Combine text
TEXTJOIN → Combine text with a separator
💡 Practice
Suppose:
A2 = " john smith "
Try creating formulas to:
1. Remove extra spaces → TRIM
2. Convert to uppercase → UPPER
3. Convert to lowercase → LOWER
4. Capitalize properly → PROPER
5. Count characters → LEN
❤️ Double Tap & React For Part 6! | 2 491 |
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| 16 | 📊 Excel Formulas — Part 4
This part focuses on Lookup formulas — essential when you need to find information from another table.
1️⃣ XLOOKUP
Searches for a value and returns the corresponding result.
=XLOOKUP(A2,E2:E10,F2:F10,"Not Found")
Example: Find an employee's department using their Employee ID.
Why it's useful:
• Can look left or right
• Exact match by default
• Can return a custom result when nothing is found
2️⃣ VLOOKUP
Searches vertically in the first column of a table.
=VLOOKUP(A2,E2:G10,3,FALSE)
Example: Find a product's price using its Product ID.
Remember: FALSE → Exact match
TRUE → Approximate match
3️⃣ HLOOKUP
Searches horizontally across the first row of a table.
=HLOOKUP(B1,B2:F5,4,FALSE)
Useful when your lookup values are arranged horizontally.
4️⃣ INDEX
Returns a value from a specific position in a range.
=INDEX(B2:B10,4)
Example: Return the 4th value from the range B2:B10.
5️⃣ MATCH
Finds the position of a value within a range.
=MATCH("Laptop",A2:A10,0)
0 means you want an exact match.
6️⃣ INDEX + MATCH
A powerful combination for lookups.
=INDEX(C2:C10,MATCH(A2,A2:A10,0))
Here:
MATCH → Finds the position
INDEX → Returns the value from that position
💡 Sample Data
Product ID Product Price
P101 Laptop 50000
P102 Mouse 800
P103 Keyboard 1500
P104 Monitor 12000
P105 Headphones 2500
Try finding the Price for Product ID P103 using:
1.
XLOOKUP
2.
VLOOKUP
3.
INDEX + MATCH
🧠 Double Tap ❤️ For More | 2 989 |
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| 18 | 📊 Excel Formulas — Part 3
Conditional Calculations
This part focuses on conditional calculations — extremely useful when working with real-world datasets.
1️⃣ SUMIF
Adds values that meet one condition.
=SUMIF(A2:A10,"Sales",B2:B10)
Example: Add sales only for rows where the category is Sales.
2️⃣ SUMIFS
Adds values based on multiple conditions.
=SUMIFS(C2:C10,A2:A10,"East",B2:B10,"Laptop")
Example: Calculate laptop sales only for the East region.
Syntax:
=SUMIFS(sum_range, criteriaᵣange1, criteria1, criteriaᵣange2, criteria2)
3️⃣ COUNTIF
Counts cells that meet one condition.
=COUNTIF(B2:B10,">=50")
Example: Count how many students scored 50 or more.
4️⃣ COUNTIFS
Counts cells/rows that meet multiple conditions.
=COUNTIFS(A2:A10,"East",B2:B10,">=100")
Example: Count transactions from the East region where sales are at least 100.
5️⃣ AVERAGEIF
Calculates an average based on one condition.
=AVERAGEIF(A2:A10,"Sales",B2:B10)
Example: Calculate the average sales for the Sales category.
6️⃣ AVERAGEIFS
Calculates an average based on multiple conditions.
=AVERAGEIFS(C2:C10,A2:A10,"East",B2:B10,"Laptop")
Example: Calculate the average laptop sales in the East region.
💡 Sample Data
Region | Product | Sales
East | Laptop | 500
West | Mouse | 200
East | Laptop | 700
South | Keyboard | 300
East | Mouse | 250
Try calculating:
1. Total East sales → SUMIF
2. Total East Laptop sales → SUMIFS
3. Number of transactions above 300 → COUNTIF
4. Number of East transactions → COUNTIF
5. Number of East Laptop transactions → COUNTIFS
6. Average East sales → AVERAGEIF
7. Average East Laptop sales → AVERAGEIFS
🧠 Remember
• IF → Make a decision
• SUMIF → Add based on a condition
• SUMIFS → Add based on multiple conditions
• COUNTIF → Count based on a condition
• COUNTIFS → Count based on multiple conditions
• AVERAGEIF → Average based on a condition
• AVERAGEIFS → Average based on multiple conditions
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