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✅ 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
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Канал MS Excel for Data Analysis (@excel_analyst) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 71 146 подписчиков, занимая 2 264 место в категории Образование и 4 548 место в регионе Индия.
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📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“✅ 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”
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| 2 | Sort by Sales (Highest First)
=SORT(A2:C5,3,-1)
📌 These formulas update automatically when new data is added.
⚠️ 9. Common Error – #SPILL!
You may see:
SPILL!
Causes
• Cells in the spill range already contain data
• Merged cells block the spill range
• Not enough space for results
Fix
✅ Clear the blocking cells.
✅ Avoid merged cells where dynamic arrays are used.
🎯 Mini Practice Project
Create: Employee_Report.xlsx
Data
Employee Department Salary
Rahul Sales 50000
Priya HR 60000
Amit Sales 55000
Neha Finance 65000
Karan HR 58000
Tasks
✅ Show only HR employees
=FILTER(A2:C6,B2:B6="HR")
✅ List unique departments
=UNIQUE(B2:B6)
✅ Sort employees by salary (highest first)
=SORT(A2:C6,3,-1)
✅ Generate employee serial numbers
=SEQUENCE(5)
✅ Generate five random performance scores (1–100)
=RANDARRAY(5,1,1,100,TRUE)
🏆 End of Part 11
After completing this lesson, you should be able to:
✅ Use FILTER() to create dynamic reports
✅ Sort data using SORT()
✅ Remove duplicates with UNIQUE()
✅ Generate number sequences using SEQUENCE()
✅ Create random sample data using RANDARRAY()
✅ Understand and resolve #SPILL! errors
📌 Dynamic Array functions simplify formulas, improve readability, and are highly valued in modern Excel workflows.
➡️ Double Tap ❤️ For Part-12 | 789 |
| 3 | Now, let's understand the next web development project:
🚀 Excel Formulas Fundamentals — Part 11
⚡ Dynamic Array Functions (FILTER, SORT, UNIQUE, SEQUENCE, RANDARRAY)
Dynamic Array functions are available in modern versions of Microsoft Excel (Microsoft 365 and Excel 2021+). They automatically return multiple results and "spill" them into adjacent cells, making formulas simpler and reducing the need for helper columns.
📌 These functions are becoming increasingly common in modern Excel interviews and workplace tasks.
🧠 1. What are Dynamic Arrays?
A Dynamic Array formula can return multiple values from a single formula.
Example
=UNIQUE(A2:A10)
Instead of returning one value, Excel returns all unique values and automatically fills the cells below.
This automatic expansion is called a spill range.
🔍 2. FILTER() – Filter Data Dynamically
FILTER() returns only the rows that meet a condition.
Syntax
=FILTER(array,include,[if_empty])
Example
Employee Department Salary
Rahul Sales 50000
Priya HR 60000
Amit Sales 55000
Neha Finance 65000
Formula:
=FILTER(A2:C5,B2:B5="Sales","No Data")
Result:
Employee Department Salary
Rahul Sales 50000
Amit Sales 55000
📌 Use Cases:
• Interactive dashboards
• Dynamic reports
• Filtering records without using AutoFilter
📊 3. SORT() – Sort Data Automatically
SORT() sorts data without changing the original dataset.
Syntax
=SORT(array,[sort_index],[sort_order])
Example
=SORT(A2:C10,3,-1)
Meaning
• Sort by the 3rd column (Salary)
• -1 = Descending order
📌 Useful for displaying Top Performers dynamically.
🎯 4. UNIQUE() – Return Unique Values
UNIQUE() removes duplicate values and returns only distinct entries.
Syntax
=UNIQUE(array)
Example
Department
Sales
HR
Sales
Finance
HR
Formula:
=UNIQUE(A2:A6)
Result:
Sales
HR
Finance
📌 Common Uses:
• Dropdown lists
• Customer lists
• Product categories
🔢 5. SEQUENCE() – Generate Number Series
SEQUENCE() creates a sequence of numbers automatically.
Syntax
=SEQUENCE(rows,[columns],[start],[step])
Example
=SEQUENCE(10)
Result:
1
2
3
4
5
6
7
8
9
10
Another Example
=SEQUENCE(5,1,100,10)
Result:
100
110
120
130
140
📌 Useful for creating serial numbers and sample datasets.
🎲 6. RANDARRAY() – Generate Random Numbers
RANDARRAY() creates an array of random numbers.
Syntax
=RANDARRAY(rows,[columns],[min],[max],[whole_number])
Example
=RANDARRAY(5,1,1,100,TRUE)
Result (changes every recalculation):
15
87
42
63
91
📌 Use Cases:
• Sample data
• Testing dashboards
• Random selections
🔄 7. Combining Dynamic Array Functions
Dynamic Array functions can be combined for powerful analysis.
Example
Display unique departments in alphabetical order:
=SORT(UNIQUE(B2:B20))
Result:
Finance
HR
Sales
Example
Display only Sales employees sorted by salary:
=SORT(FILTER(A2:C20,B2:B20="Sales"),3,-1)
This filters Sales employees and sorts them by Salary in descending order.
💼 8. Real-World Business Scenario
Sales Dashboard
Region Product Sales
East Laptop 50000
West Mobile 30000
East Tablet 40000
South Laptop 35000
Show Only East Region
=FILTER(A2:C5,A2:A5="East")
Show Unique Products
=UNIQUE(B2:B5) | 651 |
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| 6 | ✅ Data Analytics Essentials
TECH SKILLS (NON-NEGOTIABLE)
1️⃣ SQL
• Joins, Group by, Window functions
• Handle NULLs and duplicates
Example: LEFT JOIN fits a churn query to include non-churned users
2️⃣ Excel
• Pivot tables, Lookups, IF logic
• Clean raw data fast
Example: Reconcile 50k rows in minutes using Pivot tables
3️⃣ Power BI or Tableau
• Data modeling, Measures, Filters
• One dashboard, One question
Example: Sales drop by region and month dashboard
4️⃣ Python
• pandas for cleaning and analysis
• matplotlib or seaborn for quick visuals
Example: Groupby revenue by cohort
5️⃣ Statistics Basics
• Mean vs median, Variance, Correlation
• Know when averages lie
Example: Median salary explains skewed data
SOFT SKILLS (DEAL BREAKERS)
1️⃣ Business Thinking
• Ask why before how
• Tie insights to decisions
Example: High churn points to onboarding gaps
2️⃣ Communication
• Explain insights without jargon
• One slide, One takeaway
Example: Revenue fell due to fewer repeat users
3️⃣ Problem Framing
• Convert vague asks into clear questions
• Define metrics early
Example: What defines an active user?
4️⃣ Attention to Detail
• Validate numbers
• Double check logic
• Small errors kill trust
5️⃣ Stakeholder Handling
• Listen first
• Clarify scope
• Push back with data
🎯 Balance both tech and soft skills to grow faster as an analyst
Double Tap ♥️ For More | 1 259 |
| 7 |  💻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 | 𝟱 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗦𝗤𝗟 🚀
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| 8 | Average Laptop Sales
=AVERAGEIF(B2:B5,"Laptop",C2:C5)
💼 9. Interview Tips
Q: When should you use SUMIF() instead of SUMIFS()?
Answer: Use SUMIF() when there is only one condition. Use SUMIFS() when multiple conditions need to be checked.
Q: What is the difference between COUNTIF() and COUNTIFS()?
Answer: COUNTIF() supports a single condition. COUNTIFS() supports multiple conditions.
Q: Where is SUMPRODUCT() commonly used?
Answer: Weighted averages, Revenue calculations, Inventory valuation, Financial models, Multi-condition calculations
🎯 Mini Practice Project
Create: Regional_Sales_Report.xlsx
Data: East Laptop 2 50000 100000, East Mobile 3 20000 60000, West Laptop 1 50000 50000, West Tablet 4 15000 60000
Tasks
✅ Total Sales in East
=SUMIF(A2:A5,"East",E2:E5)
✅ Total Laptop Sales
=SUMIF(B2:B5,"Laptop",E2:E5)
✅ Count Products Sold in West
=COUNTIF(A2:A5,"West")
✅ Average Sales in East
=AVERAGEIF(A2:A5,"East",E2:E5)
✅ Calculate Total Revenue Using Quantity × Price
=SUMPRODUCT(C2:C5,D2:D5)
📌 These are some of the most frequently used Excel functions in interviews and day-to-day business analysis.
Join our telegram channel: https://t.me/excel_data
➡️ Double Tap ❤️ For More | 1 277 |
| 9 | 🚀 Excel Formulas Fundamentals — Part 10
📊 Conditional Functions (SUMIF, SUMIFS, COUNTIF, COUNTIFS, AVERAGEIF, AVERAGEIFS, SUMPRODUCT)
Conditional functions allow you to calculate, count, or average data based on one or more conditions. They are among the most commonly used functions by Data Analysts, Financial Analysts, and Business Analysts.
📌 These functions are frequently asked in Excel interviews and used in business reporting.
🧠 1. SUMIF() – Sum Based on One Condition
SUMIF() adds values that meet a single condition.
Syntax:
=SUMIF(range, criteria, sum_range)
Example:
Data: East 50000, West 30000, East 40000
Formula: =SUMIF(A2:A4,"East",B2:B4)
Result: 90000
📌 Use Cases:
Total sales by region, Total expenses by category, Revenue by product
🎯 2. SUMIFS() – Sum Based on Multiple Conditions
SUMIFS() adds values only when all conditions are met.
Syntax:
=SUMIFS(sum_range, criteria_range1, criteria1, criteria_range2, criteria2)
Example:
Data: East Laptop 50000, East Mobile 30000, West Laptop 45000
Formula: =SUMIFS(C2:C4,A2:A4,"East",B2:B4,"Laptop")
Result: 50000
📌 Commonly used in dashboards and business reports.
🔢 3. COUNTIF() – Count Based on One Condition
Counts the number of cells that meet a condition.
Syntax:
=COUNTIF(range, criteria)
Example:
Status: Completed, Pending, Completed
Formula: =COUNTIF(A2:A4,"Completed")
Result: 2
📌 Use Cases:
Count completed tasks, Count active customers, Count employees in a department
📋 4. COUNTIFS() – Count Based on Multiple Conditions
Counts records that satisfy multiple conditions.
Syntax:
=COUNTIFS(criteria_range1, criteria1, criteria_range2, criteria2)
Example:
Data: East Laptop, East Mobile, West Laptop
Formula: =COUNTIFS(A2:A4,"East",B2:B4,"Laptop")
Result: 1
📈 5. AVERAGEIF() – Average Based on One Condition
Calculates the average for values matching one condition.
Syntax:
=AVERAGEIF(range, criteria, average_range)
Example:
Data: East 50000, West 30000, East 40000
Formula: =AVERAGEIF(A2:A4,"East",B2:B4)
Result: 45000
📊 6. AVERAGEIFS() – Average Based on Multiple Conditions
Calculates the average when multiple conditions are satisfied.
Syntax:
=AVERAGEIFS(average_range, criteria_range1, criteria1, ...)
Example:
=AVERAGEIFS(C2:C5,A2:A5,"East",B2:B5,"Laptop")
📌 Useful for finding the average sales of a specific product in a specific region.
⚡ 7. SUMPRODUCT() – Multiply and Sum Arrays
SUMPRODUCT() multiplies corresponding values in arrays and returns the sum.
Syntax:
=SUMPRODUCT(array1, array2)
Example:
Data: Quantity 2 Price 500, Quantity 3 Price 700, Quantity 1 Price 1000
Formula: =SUMPRODUCT(A2:A4,B2:B4)
Calculation: (2 × 500) + (3 × 700) + (1 × 1000) = 4100
Result: 4100
📌 Useful for weighted calculations and financial analysis.
🏢 8. Real-World Scenario – Sales Dashboard
Data: East Laptop 50000, East Mobile 30000, West Laptop 45000, West Mobile 25000
Total Sales in East
=SUMIF(A2:A5,"East",C2:C5)
Laptop Sales in West
=SUMIFS(C2:C5,A2:A5,"West",B2:B5,"Laptop")
Number of Mobile Orders
=COUNTIF(B2:B5,"Mobile") | 985 |
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| 11 | 📌 If your Excel version supports XLOOKUP, prefer it over VLOOKUP.
💼 9. Real-World Business Scenario
Employee Database: E101 Rahul Sales 50000, E102 Priya HR 60000, E103 Amit IT 70000
Requirement: Enter an Employee ID and automatically return Name, Department, Salary
Using XLOOKUP:
=XLOOKUP(F2,A2:A4,B2:B4,"Not Found") for Name
=XLOOKUP(F2,A2:A4,C2:C4,"Not Found") for Department
=XLOOKUP(F2,A2:A4,D2:D4,"Not Found") for Salary
📌 This is a common interview and workplace scenario.
🎯 Mini Practice Project
Create: Employee_Lookup.xlsx
Data: E101 Rahul Sales 50000, E102 Priya HR 60000, E103 Amit IT 70000, E104 Neha Finance 65000
Tasks:
✅ Find Salary using VLOOKUP
=VLOOKUP("E103",A2:D5,4,FALSE)
✅ Find Position using MATCH
=MATCH("Neha",B2:B5,0)
✅ Return Department using INDEX + MATCH
=INDEX(C2:C5,MATCH("E102",A2:A5,0))
✅ Return Salary using XLOOKUP
=XLOOKUP("E101",A2:A5,D2:D5,"Not Found")
📌 Mastering lookup functions is essential for Excel interviews and day-to-day data analysis.
Join our telegram channel: https://t.me/excel_data
➡️ Double Tap ❤️ For More | 1 015 |
| 12 | 🚀 Excel Formulas Fundamentals — Part 9
🔍 Lookup & Reference Functions (VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP)
Lookup functions are among the most frequently asked topics in Excel interviews. They help you search for data in one table and return related information from another.
📌 Common use cases:
Employee databases, Product catalogs, Customer records, Sales reports, Inventory management
🧠 1. What is a Lookup Function?
A lookup function searches for a value and returns a related value from another row or column.
Example:
You have Employee ID, Name, Department data.
Rows: E101 Rahul Sales, E102 Priya HR, E103 Amit IT
Search for E102 and return HR.
📖 2. VLOOKUP()
VLOOKUP stands for Vertical Lookup.
It searches the first column of a table and returns a value from another column in the same row.
Syntax:
=VLOOKUP(lookup_value,table_array,col_index_num,FALSE)
Example:
Data: E101 Rahul 50000, E102 Priya 60000, E103 Amit 70000
Formula: =VLOOKUP("E102",A2:C4,3,FALSE)
Result: 60000
Arguments explained:
lookup_value: Value to search
table_array: Data table
col_index_num: Column number to return
FALSE: Exact match
⚠️ 3. Limitations of VLOOKUP
❌ Can only search left to right
❌ Column numbers must be counted manually
❌ Breaks if columns are inserted or deleted
❌ Slower on large datasets
📌 These limitations are why many professionals now prefer INDEX + MATCH or XLOOKUP.
📘 4. HLOOKUP()
HLOOKUP stands for Horizontal Lookup.
It searches across the first row and returns a value from a specified row.
Syntax:
=HLOOKUP(lookup_value,table_array,row_index_num,FALSE)
Example:
Data across columns: Jan 10000, Feb 12000, Mar 15000
Formula: =HLOOKUP("Feb",A1:D2,2,FALSE)
Result: 12000
📌 Less commonly used because most business data is arranged vertically.
🎯 5. MATCH()
MATCH returns the position of a value in a range.
Syntax:
=MATCH(lookup_value,lookup_array,0)
Example:
List: Rahul, Priya, Amit
Formula: =MATCH("Priya",A2:A4,0)
Result: 2
📌 It returns the position, not the actual value.
📌 6. INDEX()
INDEX returns the value at a specified row and optionally column.
Syntax:
=INDEX(array,row_num)
Example:
Salary list: 50000, 60000, 70000
Formula: =INDEX(A2:A4,2)
Result: 60000
🚀 7. INDEX + MATCH (Powerful Combination)
This combination is more flexible than VLOOKUP.
Formula:
=INDEX(C2:C4,MATCH("E102",A2:A4,0))
Result: 60000
How It Works:
1. MATCH finds the row number of E102.
2. INDEX returns the salary from that row.
Advantages:
✅ Can look left or right
✅ Doesn't break when columns are inserted
✅ Faster on large datasets
✅ Easier to maintain
⭐ 8. XLOOKUP()
XLOOKUP is the modern replacement for VLOOKUP.
Syntax:
=XLOOKUP(lookup_value,lookup_array,return_array,"Not Found")
Example:
=XLOOKUP("E102",A2:A4,C2:C4,"Not Found")
Result: 60000
XLOOKUP vs VLOOKUP:
Left Lookup: VLOOKUP No, XLOOKUP Yes
Right Lookup: Both Yes
Default Error Message: VLOOKUP No, XLOOKUP Yes
Column Number Required: VLOOKUP Yes, XLOOKUP No
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| 14 | Excel Basics for Data Analytics
Excel sits at the start of most analysis work.
What you use Excel for
• Cleaning raw data
• Exploring patterns
• Quick summaries for teams
Core concepts you must know
• Data setup
– Freeze header row. View → Freeze Top Row.
– Convert range to table. Ctrl + T.
– Use proper headers. No merged cells. One value per cell.
• Data cleaning
– Remove duplicates. Data → Remove Duplicates.
– Trim extra spaces. =TRIM(A2)
– Convert text to numbers. =VALUE(A2)
– Fix date format. Format Cells → Date.
– Handle blanks. Filter blanks, fill or delete.
– Find and replace. Ctrl + H.
• Essential formulas
– Math and counts
▪ SUM. =SUM(A2:A100)
▪ AVERAGE. =AVERAGE(A2:A100)
▪ MIN. =MIN(A2:A100)
▪ MAX. =MAX(A2:A100)
▪ COUNT. Counts numbers.
▪ COUNTA. Counts non blanks.
▪ COUNTBLANK. Counts blanks.
– Conditional formulas
▪ IF. =IF(A2>5000,"High","Low")
▪ IFS. Multiple conditions.
▪ AND. =AND(A2>5000,B2="West")
▪ OR. =OR(A2>5000,A2<1000)
– Lookup formulas
▪ XLOOKUP. =XLOOKUP(A2,Sheet2!A:A,Sheet2!B:B)
▪ VLOOKUP. Old but common.
▪ INDEX + MATCH. Powerful alternative.
– Text formulas
▪ LEFT. =LEFT(A2,4)
▪ RIGHT. =RIGHT(A2,2)
▪ MID. =MID(A2,2,3)
▪ LEN. =LEN(A2)
▪ CONCAT or TEXTJOIN.
▪ LOWER, UPPER, PROPER.
– Date formulas
▪ TODAY. Current date.
▪ NOW. Date and time.
▪ YEAR, MONTH, DAY.
▪ DATEDIF. Date difference.
▪ EOMONTH. Month end.
• Sorting and filtering
– Sort by multiple columns.
– Filter by value, color, condition.
– Top 10 filter for quick insights.
• Conditional formatting
– Highlight duplicates.
– Color scales for trends.
– Rules for thresholds. Example. Sales > 10000 in green.
• Pivot tables
– Insert → PivotTable.
– Rows. Category or Product.
– Values. Sum, Count, Average.
– Filters. Date, Region.
– Refresh after data update.
• Charts you must know
– Column. Comparison.
– Bar. Ranking.
– Line. Trends over time.
– Pie. Share or percentage.
– Combo. Actual vs target.
• Data validation
– Dropdown list. Data → Data Validation → List.
– Prevent wrong entries.
• Useful shortcuts
– Ctrl + Arrow. Jump data.
– Ctrl + Shift + Arrow. Select range.
– Ctrl + 1. Format cells.
– Ctrl + L. Apply filter.
– Alt + =. Auto sum.
– Ctrl + Z / Y. Undo redo.
• Common analyst mistakes to avoid
– Merged cells.
– Hard coded totals.
– Mixed data types in one column.
– No backup before cleaning.
• Daily practice task
– Download any sales CSV.
– Clean it.
– Build one pivot table.
– Create one chart.
Excel Resources: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i
Data Analytics Roadmap: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02/1354
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| 16 | Keyboard #Shortcut Keys
Ctrl+A - Select All
Ctrl+B - Bold
Ctrl+C - Copy
Ctrl+D - Fill Down
Ctrl+F - Find
Ctrl+G - Goto
Ctrl+H - Replace
Ctrl+I - Italic
Ctrl+K - Insert Hyperlink
Ctrl+N - New Workbook
Ctrl+O - Open
Ctrl+P - Print
Ctrl+R - Fill Right
Ctrl+S - Save
Ctrl+U - Underline
Ctrl+V - Paste
Ctrl W - Close
Ctrl+X - Cut
Ctrl+Y - Repeat
Ctrl+Z - Undo
F1 - Help
F2 - Edit
F3 - Paste Name
F4 - Repeat last action
F4 - While typing a formula, switch between absolute/relative refs
F5 - Goto
F6 - Next Pane
F7 - Spell check
F8 - Extend mode
F9 - Recalculate all workbooks
F10 - Activate Menu bar
F11 - New Chart
F12 - Save As
Ctrl+: - Insert Current Time
Ctrl+; - Insert Current Date
Ctrl+" - Copy Value from Cell Above
Ctrl+’ - Copy Formula from Cell Above
Shift - Hold down shift for additional functions in Excel’s menu
Shift+F1 - What’s This?
Shift+F2 - Edit cell comment
Shift+F3 - Paste function into formula
Shift+F4 - Find Next
Shift+F5 - Find
Shift+F6 - Previous Pane
Shift+F8 - Add to selection
Shift+F9 - Calculate active worksheet
Shift+F10 - Display shortcut menu
Shift+F11 - New worksheet
Ctrl+F3 - Define name
Ctrl+F4 - Close
Ctrl+F5 - XL, Restore window size
Ctrl+F6 - Next workbook window
Shift+Ctrl+F6 - Previous workbook window
Ctrl+F7 - Move window
Ctrl+F8 - Resize window
Ctrl+F9 - Minimize workbook
Ctrl+F10 - Maximize or restore window
Ctrl+F11 - Inset 4.0 Macro sheet
Ctrl+F1 - File Open
Alt+F1 - Insert Chart
Alt+F2 - Save As
Alt+F4 - Exit
Alt+Down arrow - Display AutoComplete list
Alt+’ - Format Style dialog box
Ctrl+Shift+~ - General format
Ctrl+Shift+! - Comma format
Ctrl+Shift+@ - Time format
Ctrl+Shift+# - Date format
Ctrl+Shift+$ - Currency format
Ctrl+Shift+% - Percent format
Ctrl+Shift+^ - Exponential format
Ctrl+Shift+& - Place outline border around selected cells
Ctrl+Shift+_ - Remove outline border
Ctrl+Shift+* - Select current region
Ctrl++ - Insert
Ctrl+- - Delete
Ctrl+1 - Format cells dialog box
Ctrl+2 - Bold
Ctrl+3 - Italic
Ctrl+4 - Underline
Ctrl+5 - Strikethrough
Ctrl+6 - Show/Hide objects
Ctrl+7 - Show/Hide Standard toolbar
Ctrl+8 - Toggle Outline symbols
Ctrl+9 - Hide rows
Ctrl+0 - Hide columns
Ctrl+Shift+( - Unhide rows
Ctrl+Shift+) - Unhide columns
Alt or F10 - Activate the menu
Ctrl+Tab - In toolbar: next toolbar
Shift+Ctrl+Tab - In toolbar: previous toolbar
Ctrl+Tab - In a workbook: activate next workbook
Shift+Ctrl+Tab - In a workbook: activate previous workbook
Tab - Next tool
Shift+Tab - Previous tool
Enter - Do the command
Shift+Ctrl+F - Font Drop down List
Shift+Ctrl+F+F - Font tab of Format Cell Dialog box
Shift+Ctrl+P - Point size Drop down List
Ctrl + E - Align center
Ctrl + J - justify
Ctrl + L - align
Ctrl + R - align right
Alt + Tab - switch applications
Windows + P - Project screen
Windows + E - open file explorer
Windows + D - go to desktop
Windows + M - minimize all windows
Windows + S - search | 1 332 |
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| 18 | ✅ Search within text using FIND() and SEARCH()
📌 These text functions are among the most frequently used in real-world data cleaning and preparation.
Double Tap ❤️ For More | 1 724 |
| 19 | 🚀 Excel Formulas Fundamentals — Part 8
📝 Text Functions for Data Cleaning & Manipulation
In real-world datasets, text data is often inconsistent. Names may have extra spaces, different letter cases, or be combined into one field.
Text functions help you clean, extract, combine, and standardize text efficiently.
📌 These functions are heavily used by Data Analysts, Business Analysts, HR teams, and Finance professionals.
🧠 1. LEN() – Count Characters
LEN() returns the total number of characters in a cell, including spaces.
Syntax: =LEN(text)
Example: =LEN(A2)
If A2 contains Deepak
Result: 6
📌 Use Cases: Validate IDs, Check password length, Verify product codes
⬅️ 2. LEFT() – Extract Characters from the Left
Extracts a specified number of characters from the beginning of a text string.
Syntax: =LEFT(text,num_chars)
Example: =LEFT(A2,3)
If A2 = "Laptop"
Result: Lap
📌 Useful for extracting prefixes or department codes.
➡️ 3. RIGHT() – Extract Characters from the Right
Returns characters from the end of a text string.
Syntax: =RIGHT(text,num_chars)
Example: =RIGHT(A2,4)
If A2 = "INV2026"
Result: 2026
📌 Useful for extracting years, invoice numbers, or suffixes.
🔍 4. MID() – Extract Characters from the Middle
Extracts text starting from a specified position.
Syntax: =MID(text,start_num,num_chars)
Example: =MID(A2,3,4)
If A2 = "EMP12345"
Result: P123
📌 Useful for extracting parts of employee IDs or product codes.
✂️ 5. TRIM() – Remove Extra Spaces
Removes leading, trailing, and extra spaces between words.
Syntax: =TRIM(A2)
Example:
Before: John Doe
After: John Doe
📌 Essential for cleaning imported data.
🔠 6. UPPER(), LOWER(), PROPER()
These functions standardize text case.
UPPER()
=UPPER(A2)
Result: JOHN DOE
LOWER()
=LOWER(A2)
Result: john doe
PROPER()
=PROPER(A2)
Result: John Doe
📌 Useful for customer names, addresses, and reports.
🔗 7. CONCAT() and & – Combine Text
Using &
=A2&" "&B2
If A2 = John, B2 = Doe
Result: John Doe
Using CONCAT()
=CONCAT(A2," ",B2)
📌 Combines multiple text values into one.
📋 8. TEXTJOIN()
Joins text with a chosen delimiter.
Syntax: =TEXTJOIN(", ",TRUE,A2:A5)
Example:
Names: Rahul, Priya, Amit
Result: Rahul, Priya, Amit
📌 Useful for generating email lists or summaries.
🔄 9. SUBSTITUTE()
Replaces specific text with new text.
Syntax: =SUBSTITUTE(text,old_text,new_text)
Example: =SUBSTITUTE(A2,"Yes","Approved")
If A2 = "Yes"
Result: Approved
📌 Great for standardizing values.
🛠️ 10. REPLACE()
Replaces text based on position.
Syntax: =REPLACE(old_text,start_num,num_chars,new_text)
Example: =REPLACE("ABC123",1,3,"XYZ")
Result: XYZ123
📌 Useful when the position of the text is fixed.
🔎 11. FIND() and SEARCH()
Both functions return the position of text inside another text string.
FIND() Case-Sensitive
=FIND("Excel",A2)
SEARCH() Case-Insensitive
=SEARCH("excel",A2)
Example: If A2 = "Learn Excel Today"
Result: 7
📌 Useful for checking whether a keyword exists in a text string.
🎯 Mini Practice Project
Create: Customer_Data.xlsx
Data:
First Name | Last Name | Full Name | Customer ID
john | doe | CUST-2026-001
Tasks:
✅ Convert names to Proper Case
=PROPER(A2)
✅ Create Full Name
=A2&" "&B2
✅ Remove Extra Spaces
=TRIM(C2)
✅ Extract Year from Customer ID
=MID(D2,6,4)
✅ Count Characters in Customer ID
=LEN(D2)
🏆 End of Part 8
After completing this lesson, you should be able to:
✅ Extract text using LEFT(), RIGHT(), and MID()
✅ Clean data using TRIM()
✅ Standardize text with UPPER(), LOWER(), and PROPER()
✅ Combine text using CONCAT(), TEXTJOIN(), and &
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