Master these 6 things in Excel, and you will be irreplaceable at your job

1. Formulas and functions
2. Pivot Tables
3. Macros and VBA
4. Data Visualization
5. Power Pivot
6. Regular Practice

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Top 10 Excel Functions Used by Data Analysts

1. VLOOKUP:
• Example: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
• Usage: Searches for a value in the first column of a table and returns a value in the same row from another column.

2. HLOOKUP:
• Example: =HLOOKUP(lookup_value, table_array, row_index_num, [range_lookup])
• Usage: Similar to VLOOKUP, but searches in the first row of a table.

3. INDEX-MATCH:
• Example: =INDEX(return_range, MATCH(lookup_value, lookup_range, 0))
• Usage: A more flexible alternative to VLOOKUP or HLOOKUP for lookups.

4. SUMIFS:
• Example: =SUMIFS(sum_range, criteria_range1, criteria1, [criteria_range2, criteria2, ...])
• Usage: Adds values based on multiple criteria.

5. COUNTIFS:
• Example: =COUNTIFS(criteria_range1, criteria1, [criteria_range2, criteria2, ...])
• Usage: Counts cells based on multiple criteria.

6. AVERAGEIFS:
• Example: =AVERAGEIFS(average_range, criteria_range1, criteria1, [criteria_range2, criteria2, ...])
• Usage: Calculates the average based on multiple criteria.

7. CONCATENATE:
• Example: =CONCATENATE(text1, [text2, ...]) or =text1 & [text2]
• Usage: Combines text from multiple cells into one cell.

8. IF:
• Example: =IF(logical_test, value_if_true, value_if_false)
• Usage: Performs conditional logic based on a specified condition.

9. PivotTables:
• Usage: Allows for dynamic data summarization and analysis in a table format.

10. SUM, AVERAGE, COUNT:
• Examples: =SUM(range), =AVERAGE(range), =COUNT(range)
• Usage: Basic functions for simple calculations on a range of cells.

Essentials of MS Excel to learn for a Data Analytics role:

Data Management & Cleaning

- Removing Duplicates: Eliminate repeated entries to ensure data accuracy.
- Text to Columns: Split text into multiple columns for better organization.
- Data Validation: Set rules to maintain data integrity.
- Flash Fill: Automatically fill data based on patterns.

Formula Mastery

- SUMIFS, COUNTIFS, AVERAGEIFS: Aggregate data with multiple criteria.
- VLOOKUP, HLOOKUP: Search for data vertically or horizontally.
- INDEX, MATCH, INDEX & MATCH: Combine functions for powerful lookups.
- IF, AND, OR, NOT: Perform logical operations.
- Nested Functions: Use multiple functions within one another.
- Array Formulas: Handle multiple values at once.
- XLOOKUP, LET: Modern functions for efficient lookups and variable definitions.
- SUMPRODUCT, INDIRECT: Advanced functions for complex calculations.
- CHOOSE, OFFSET: Select data and reference ranges dynamically.
- LEFT, RIGHT: Extract specific characters from a string.

Data Analysis & Reporting

- Pivot Tables & Pivot Charts: Summarize and visualize large datasets.
- Data Sorting and Filtering: Organize and find data efficiently.
- Subtotals: Calculate subtotals within your data sets.
- Data Tables, Scenarios (What-If Analysis): Explore different data scenarios.
- Goal Seek and Solver: Find optimal solutions for your data problems.

Visualization Expertise

- Conditional Formatting: Highlight data based on conditions.
- Basic to Advanced Charting: Create various types of charts.
- Creating Dynamic Dashboards: Build interactive and real-time dashboards.
- Sparklines: Embed mini-charts within cells for quick insights.

Efficiency Enhancers

- Keyboard Shortcuts: Speed up your workflow.
- Basic Macros and VBA (Optional): Automate repetitive tasks.
- Data Consolidation Techniques: Combine data from different sources.
- Error Checking and Auditing Tools: Ensure data accuracy and troubleshoot issues.

Advanced Excel Capabilities

Power Query for Data Transformation: Clean and transform data efficiently.
Data Model & Power Pivot: Handle complex data relationships.
Advanced Filter: Perform advanced data filtering.
Slicers and Timelines in Pivot Tables: Enhance pivot table interactivity.

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Microsoft Excel Shortcuts A to Z, everyone should know:

CTRL + A ➡️ Select All

CTRL + B ➡️ Toggle BOLD (font)

CTRL + C ➡️ Copy

CTRL + D ➡️ Fill Down

CTRL + E ➡️ Flash Fill

CTRL + F ➡️ Find

CTRL + G ➡️ Go To

CTRL + H ➡️ Find and Replace

CTRL + I ➡️ Toggle Italic (font)

CTRL + J ➡️ Input line break (in Find and Replace)

CTRL + K ➡️ Insert Hyperlink

CTRL + L ➡️ Insert Excel Table

CTRL + M ➡️ Not Assigned

CTRL + N ➡️ New Workbook

CTRL + O ➡️ Open

CTRL + P ➡️ Print

CTRL + Q ➡️ Quick Analysis

CTRL + R ➡️ Fill Right

CTRL + S ➡️ Save

CTRL + T ➡️ Insert Excel Table

CTRL + U ➡️ Toggle underline (font)

CTRL + V ➡️ Paste (when something is cut/copied)

CTRL + W ➡️ Close the current workbook

CTRL + X ➡️ Cut

CTRL + Y ➡️ Redo (Repeat last action)

CTRL + Z ➡️ Undo

Excel Interview Question & Anwers for Data Analytics Interview✅
[Part-2]

1. What is a cell in Excel?
   - A cell is the intersection of a row and a column in Excel. It is where you enter data, perform calculations, or display results.

2. Explain the difference between relative reference and absolute reference in Excel.
   - Relative reference adjusts when copied to another cell (e.g., A1 becomes B1 if copied to the right). Absolute reference remains constant (e.g., $A$1) regardless of where it is copied.

3. How do you freeze panes in Excel?
   - To freeze panes, go to the View tab, click on Freeze Panes, and choose whether to freeze the top row, first column, or both based on your needs.

4. What are Excel functions and give an example?
   - Excel functions are pre-built formulas for specific calculations. Example: SUM(A1:A10) calculates the sum of cells A1 to A10.

5. How do you create a chart in Excel?
   - Select the data you want to include in the chart, then go to the Insert tab, click on the desired chart type (e.g., Column Chart), and select a subtype.

6. Explain conditional formatting in Excel.
   - Conditional formatting allows you to format cells based on specific criteria. For example, highlighting cells with values greater than 100 in red.

Excel interview questions for both data analysts and business analysts

1) What are the basic functions of Microsoft Excel?
2) Explain the difference between a workbook and a worksheet.
3) How would you freeze panes in Excel?
4) Can you name some common keyboard shortcuts in Excel?
5) What is the purpose of VLOOKUP and HLOOKUP?
7) How do you remove duplicate values in Excel?
8) Explain the steps to filter data in Excel.
9) What is the significance of the "IF" function in Excel, and can you provide an example of its use?
10) How would you create a pivot table in Excel?
11) Explain the use of the CONCATENATE function in Excel.
12) How do you create a chart in Excel?
13) Explain the difference between a line chart and a scatter plot.
14) What is conditional formatting, and how can it be applied in Excel?
15) How would you create a dynamic chart that updates with new data?
16) What is the INDEX-MATCH function, and how is it different from VLOOKUP?
17) Can you explain the concept of "PivotTables" and when you would use them?
18) How do you use the "COUNTIF" and "SUMIF" functions in Excel?
19) Explain the purpose of the "What-If Analysis" tools in Excel.
20) What are array formulas, and can you provide an example of their use?

Business Analysis Specific:

1) How would you analyze a set of sales data to identify trends and insights?
2) Explain how you might use Excel to perform financial modeling.
3) What Excel features would you use for forecasting and budgeting?
4) How do you handle large datasets in Excel, and what tools or techniques do you use for optimization?
5) What are some common techniques for cleaning and validating data in Excel?
6) How do you identify and handle errors in a dataset using Excel?

Scenario-based Questions:

1) Imagine you have a dataset with missing values. How would you approach this problem in Excel?
2) You are given a dataset with multiple sheets. How would you consolidate the data for analysis?

Excel Interview Question & Answers for Data Analytics Interview✅
[Part-4]

12. What is the difference between Excel tables and ranges?
- Excel tables (also known as Excel ListObject) are structured ranges with built-in features such as filter buttons, total rows, and structured references. Ranges are simply selected groups of cells.

13. How do you remove duplicates in Excel?
- To remove duplicates, select the range of cells or columns where you want to remove duplicates, go to the Data tab, click on Remove Duplicates, select the columns you want to check for duplicates, and click OK.

14. Explain the PMT function in Excel and provide an example.
- The PMT function calculates the periodic payment for a loan or investment based on constant payments and a constant interest rate. Example: =PMT(0.05/12, 5*12, -100000) calculates the monthly payment for a $100,000 loan with a 5% annual interest rate over 5 years.

15. How do you create a drop-down list in Excel?
- To create a drop-down list, select the cell or cells where you want the drop-down list, go to the Data tab, click on Data Validation, choose List as the Allow option, enter your list items separated by commas in the Source box, and click OK.

16. What is the difference between Excel for Windows and Excel for Mac?
- While both versions share many features, there are some differences in user interface elements, keyboard shortcuts, and certain functions that may be available on one platform but not the other.

Key Excel Concepts for Data Analyst Interviews

1. Formulas and Functions: Master essential Excel functions like VLOOKUP(), HLOOKUP(), INDEX(), MATCH(), IF(), and nested IF statements to perform complex data lookups, logical operations, and calculations.

2. PivotTables: Use PivotTables to summarize, analyze, and explore large datasets quickly. Understand how to group data, create calculated fields, and apply filters within PivotTables.

3. Data Cleaning and Transformation: Familiarize yourself with data cleaning techniques using functions like TRIM(), CLEAN(), TEXT(), and DATE(). Use Excel’s built-in tools like Flash Fill, Text to Columns, and Remove Duplicates for efficient data preparation.

4. Conditional Formatting: Apply conditional formatting to highlight key data points, trends, or outliers, enabling more effective data visualization and interpretation.

5. Advanced Charts and Graphs: Create a variety of charts, including bar charts, line charts, scatter plots, and histograms. Understand when and how to use each chart type for the best data representation.

6. Macros and VBA: Learn to automate repetitive tasks by recording macros and writing simple VBA scripts, streamlining workflows and saving time on complex processes.

7. Data Validation and Dropdowns: Use data validation to control user input, ensuring data accuracy and consistency. Create dropdown lists and other controls for better data entry.

8. Lookup and Reference Functions: Deepen your understanding of advanced lookup and reference functions like XLOOKUP(), OFFSET(), and INDIRECT() for dynamic data referencing.

9. What-If Analysis: Perform what-if analysis using tools like Goal Seek, Data Tables, and Scenario Manager to model different scenarios and assess their potential impact.

10. Power Query and Power Pivot: Use Power Query for advanced data import, cleaning, and transformation, and Power Pivot for building sophisticated data models and performing complex calculations using DAX within Excel.

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Must-Have Excel Shortcuts You Need to Learn NOW 🖥️🚀

1️⃣ Ctrl + C / Ctrl + V
Copy & Paste: The basics! Move data around in seconds.

2️⃣ Ctrl + Z / Ctrl + Y
Undo & Redo: Quick fix mistakes or redo your last action with ease.

3️⃣ Ctrl + Shift + L
Add/Remove Filters: Instantly filter your data for better insights.

4️⃣ Alt + H + O + I
Auto Fit Column Width: Make your columns adjust to the longest content.

5️⃣ Ctrl + Arrow Keys
Jump to the edges: Navigate large datasets without scrolling forever.

Excel Basic Concepts asked in Data Analyst Interviews 👇👇

1. Excel Interface and Navigation: Familiarize yourself with Excel’s user interface, including the ribbon, worksheet tabs, and the formula bar. Learn keyboard shortcuts to efficiently navigate and perform tasks within Excel.

2. Data Entry and Formatting: Understand how to enter data, adjust cell formats (e.g., text, numbers, dates), and use formatting options like bold, italics, cell borders, and background colors to enhance readability.

3. Basic Formulas: Learn essential Excel formulas such as:
   - SUM(): Adds up a range of numbers.
   - AVERAGE(): Calculates the mean of a range.
   - MIN() and MAX(): Find the smallest and largest values in a range.
   - COUNT() and COUNTA(): Count the number of numeric and non-empty cells in a range.

4. Cell References: Understand the difference between relative, absolute, and mixed cell references (e.g., A1, $A$1, A$1) and how they behave when copying formulas across cells.

5. Conditional Formatting: Learn how to apply conditional formatting to highlight cells that meet certain criteria, such as coloring cells with values above a certain threshold or marking duplicate values.

6. Basic Data Manipulation: Get comfortable with basic data manipulation techniques:
   - Sorting: Arrange data in ascending or descending order.
   - Filtering: Use AutoFilter to display only the rows that meet certain criteria.
   - Find and Replace: Quickly locate and replace text or numbers within a worksheet.

7. Working with Tables: Learn how to convert a range of data into an Excel table, which provides easier sorting, filtering, and formatting options, along with the ability to use structured references in formulas.

8. Basic Charts: Create and customize basic charts (e.g., bar, line, pie charts) to visually represent data. Understand how to add chart titles, labels, and legends to make your charts clear and informative.

9. Basic Text Functions: Use essential text functions to manipulate and clean data:
   - CONCATENATE() or TEXTJOIN(): Combine text from multiple cells.
   - LEFT(), RIGHT(), MID(): Extract parts of a text string.
   - LEN(): Count the number of characters in a cell.
   - TRIM(): Remove extra spaces from text.

10. IF Function: Master the IF() function to create simple conditional statements. For example, =IF(A1>100, "High", "Low") assigns "High" if the value in A1 is greater than 100 and "Low" otherwise.

11. Date and Time Functions: Learn how to work with dates and times in Excel:
    - TODAY(): Returns the current date.
    - NOW(): Returns the current date and time.
    - DATEDIF(): Calculates the difference between two dates in days, months, or years.

12. Basic Error Handling: Understand how to handle errors in formulas using functions like IFERROR() to replace errors with a user-friendly message or alternative value.

13. Working with Multiple Sheets: Learn how to reference data across multiple sheets in a workbook, use 3D references, and organize large workbooks with multiple tabs.

14. Basic Data Validation: Implement data validation rules to control what users can enter into a cell, such as restricting input to a list of values or setting a range for numeric entries.

15. Print Settings: Master Excel’s print settings, including setting print areas, adjusting page layout, using headers and footers, and scaling content to fit on a page for better printouts.

16. Basic Lookup Functions: Learn basic lookup functions like VLOOKUP() and HLOOKUP() to search for specific data in a table and return a corresponding value from another column.

Top 10 Excel functions for data analysis

SUMIF/SUMIFS: Sum values based on specified conditions, allowing you to aggregate data selectively.
AVERAGE: Calculate the average of a range of numbers, useful for finding central tendencies.
COUNT/COUNTIF/COUNTIFS: Count the number of cells that meet specific criteria, helping with data profiling.
MAX/MIN: Find the maximum or minimum value in a dataset, useful for identifying extremes.
IF/IFERROR: Perform conditional calculations and handle errors in data gracefully.
VLOOKUP/HLOOKUP: Search for a value in a table and return related information, aiding data retrieval.
PivotTables: Dynamically summarize and analyze data, making it easier to draw insights.
INDEX/MATCH: Retrieve data based on criteria, providing more flexible lookup capabilities than VLOOKUP.
TEXT and DATE Functions: Manipulate text strings and work with date values effectively.
Statistical Functions (e.g., AVERAGEIFS, STDEV, CORREL): Perform advanced statistical analysis on your data.

These functions form the foundation for many data analysis tasks in Excel and are essential for anyone working data regularly.

Hope it helps :)

Essential Excel skills 👇👇

VLOOKUP & XLOOKUP
Every hiring manager wants to see you can look up data quickly. Mastering VLOOKUP or the newer XLOOKUP will show you can handle large datasets.
→ It’s a must-have for most roles that deal with data.

Pivot Tables
If you can’t summarize data in seconds with a Pivot Table, you’re missing out on a huge advantage. HR says this is a go-to skill for quick analysis.
→ It’s all about saving time and pulling insights fast.

Data Visualization (Charts)
Employers love when you can turn boring data into clear, professional charts. Whether it’s bar charts, pie charts, or line graphs, knowing how to visualize data is key.
→ Presentation matters, and charts are the way to stand out.

Conditional Formatting
Want your spreadsheets to pop? HR looks for people who can make key data stand out with Conditional Formatting.
→ It helps you quickly identify trends, patterns, and outliers.

Basic Macros
If you can automate repetitive tasks with Macros, HR says you’re immediately more valuable. It shows you’re efficient and know how to streamline your work.
→ Start small, but the time-saving potential is huge.

Hope it helps :)

#excel

Quick Recap of Excel Concepts

1️⃣ Cells & Ranges: Basic units of Excel where data is entered; ranges refer to groups of cells like A1:A10.

2️⃣ Formulas: Built-in functions used for calculations, such as =SUM(), =AVERAGE(), and =IF().

3️⃣ Cell Referencing: Refers to cells in formulas, with options like absolute ($A$1), relative (A1), and mixed referencing (A$1).

4️⃣ Pivot Tables: A powerful feature to summarize, analyze, explore, and present large data sets interactively.

5️⃣ Charts: Graphical representations of data, including bar charts, line charts, pie charts, and scatter plots.

6️⃣ Conditional Formatting: Automatically applies formatting like colors or icons to cells based on specified conditions.

7️⃣ Data Validation: Ensures that only valid data is entered into a cell, useful for creating dropdown lists or setting data entry rules.

8️⃣ VLOOKUP / HLOOKUP: Functions used to search for a value in a table and return related information.

9️⃣ Macros: Automate repetitive tasks by recording actions or writing VBA code.

🔟 Excel Tables: Convert ranges into structured tables for easier filtering, sorting, and analysis, while automatically updating formulas and ranges.

Excel Cheatsheet

My strategy to learn excel

1) Cover up the most used formulas

SUMIFS
VLOOKUP
XLOOKUP
IFS
IF
COUNTIFS
SUMIF
COUNTIF
INDEX
MATCH
COMBINATION OF INDEX MATCH
CONCATENATE
LEFT
RIGHT
PLAYING WITH DATE FORMATS

2) pick a case study and design some kpi and build a monthly view dashboard by just using formulas

3) Now learn pivots , and build calculated fields with it and build the same view as you done with the formulas

4) Learn power query and data modelling , learn to clean and transformation of data

5) build 3 to 5 projects on excel to get super confidence

50 essential Excel formulas

SUM: =SUM(A1:A5)
AVERAGE: =AVERAGE(A1:A10)
VLOOKUP: =VLOOKUP(B1, A2:D10, 3, FALSE)
IF: =IF(A1 > 10, "Yes", "No")
CONCATENATE (or CONCAT): =CONCATENATE(A1, " ", B1)
COUNT: =COUNT(A1:A10)
MAX: =MAX(A1:A10)
MIN: =MIN(A1:A10)
ROUND: =ROUND(A1, 2)
TRIM: =TRIM(A1)
LOWER: =LOWER(A1)
UPPER: =UPPER(A1)
LEFT: =LEFT(A1, 5)
RIGHT: =RIGHT(A1, 5)
MID: =MID(A1, 2, 3)
LEN: =LEN(A1)
FIND: =FIND("search_text", A1)
REPLACE: =REPLACE(A1, 3, 2, "new_text")
SUBSTITUTE: =SUBSTITUTE(A1, "old_text", "new_text")
INDEX: =INDEX(A1:A10, 3)
MATCH: =MATCH(B1, A1:A10, 0)
OFFSET: =OFFSET(A1, 1, 2)
SUMIF: =SUMIF(A1:A10, ">5")
COUNTIF: =COUNTIF(A1:A10, "apple")
AVERAGEIF: =AVERAGEIF(A1:A10, "<>0")
SUMIFS: =SUMIFS(A1:A10, B1:B10, "apple", C1:C10, ">5")
COUNTIFS: =COUNTIFS(A1:A10, ">5", B1:B10, "apple")
AVERAGEIFS: =AVERAGEIFS(A1:A10, B1:B10, "apple", C1:C10, ">5")
IFERROR: =IFERROR(A1/B1, "Error")
AND: =AND(A1>5, A1<10)
OR: =OR(A1="apple", A1="banana")
NOT: =NOT(A1="apple")
DATE: =DATE(2022, 12, 31)
TODAY: =TODAY()
NOW: =NOW()
DATEDIF: =DATEDIF(A1, A2, "D")
YEAR: =YEAR(A1)
MONTH: =MONTH(A1)
DAY: =DAY(A1)
EOMONTH: =EOMONTH(A1, 3)
NETWORKDAYS: =NETWORKDAYS(A1, A2)
WEEKDAY: =WEEKDAY(A1)
HLOOKUP: =HLOOKUP(B1, A1:D10, 3, FALSE)
MATCH: =MATCH(B1, A1:A10, 0)
INDEX-MATCH: =INDEX(A1:A10, MATCH(B1, C1:C10, 0))
TRANSPOSE: =TRANSPOSE(A1:D10)
PIVOT TABLE: =PIVOT_TABLE(A1:D10, "Sales", "Region", "Sum")
RANK: =RANK(A1, A1:A10, 1)
RAND: =RAND()
CHOOSE: =CHOOSE(B1, "Option 1", "Option 2", "Option 3")

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Some of #Excel interview questions tailored for both data analysts and business analysts:-

1) What are the basic functions of Microsoft Excel?
2) Explain the difference between a workbook and a worksheet.
3) How would you freeze panes in Excel?
4) Can you name some common keyboard shortcuts in Excel?
5) What is the purpose of VLOOKUP and HLOOKUP?
7) How do you remove duplicate values in Excel?
8) Explain the steps to filter data in Excel.
9) What is the significance of the "IF" function in Excel, and can you provide an example of its use?
10) How would you create a pivot table in Excel?
11) Explain the use of the CONCATENATE function in Excel.
12) How do you create a chart in Excel?
13) Explain the difference between a line chart and a scatter plot.
14) What is conditional formatting, and how can it be applied in Excel?
15) How would you create a dynamic chart that updates with new data?
16) What is the INDEX-MATCH function, and how is it different from VLOOKUP?
17) Can you explain the concept of "PivotTables" and when you would use them?
18) How do you use the "COUNTIF" and "SUMIF" functions in Excel?
19) Explain the purpose of the "What-If Analysis" tools in Excel.
20) What are array formulas, and can you provide an example of their use?

Business Analysis Specific:

1) How would you analyze a set of sales data to identify trends and insights?
2) Explain how you might use Excel to perform financial modeling.
3) What Excel features would you use for forecasting and budgeting?
4) How do you handle large datasets in Excel, and what tools or techniques do you use for optimization?
5) What are some common techniques for cleaning and validating data in Excel?
6) How do you identify and handle errors in a dataset using Excel?

Scenario-based Questions:

1) Imagine you have a dataset with missing values. How would you approach this problem in Excel?
2) You are given a dataset with multiple sheets. How would you consolidate the data for analysis?

✅ If I have to start learning Excel from scratch in 2024 I will follow the below sequence and resources, and this is enough to crack data roles.

🧍Pivot Tables
🏃VLOOKUP
🤸HLOOKUP
🧎XLOOKUP
🧍Index Match
🧍Operators
🏃IF,IFS,IFNA,IFError
🧎Count,Countif,Countifs,Counta
🤸Sum,Sumif,Sumifs
🏃Avergae,Averageif,Averageifs
🚶Percentile,Percentrank
🚶Quartile
🏃Mean,Median,Mode
🤸Round,Power
🧎Large,Small
🧍Weekday,Weeknum
🧍Date,Time,Minute,Hour
🧎Yearfrac,Edate,Emonth
🤸Networkdays,DATEFormat
🚶Conditional Formatting
🚶Value,Find,Search
🏃Istext,Isnumber,Replace
🤸 Exact,Proper,Mid
🧎Upper,Lower
🧍Rept,Clean
🧍Concatenate,Substitute
🧍Date To Text
🧎Max, Min
🤸Length,TRIM
🏃Left, Right
🚶Charts & Dashboarding
🚶Data Validation
🏃Text to Column
🤸Practise Problems

I have curated Data Analytics Resources here👇👇
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Hope this helps you 😊

4 reasons why you should start your analytics journey with Excel.

1) It's the Swiss Army Knife of data
- Clean data
- Ad-hoc analytics
- Create visualizations
- Automations (Macros)

2) Integration with other tools
- Excel spreadsheets feed data into everything
- MS Access, Tableau, Power BI, SQL, etc

3) Power BI adoption
- DAX and Power Query in Excel make PBI easier to adopt

4) All roads lead back to Excel eventually (trust me)
- As hard as you try, you can never escape it

There's much more to learn after Excel, but starting here will create a strong foundation for your analytics career path!

I have curated top-notch Data Analytics Resources 👇👇
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Hope this helps you 😊

TOP 10 Excel Formulas Everyone Should Know 👇

🔵 SUM =SUM(A1:A10) — Adds values.
🔵 AVERAGE =AVERAGE(A1:A10) — Finds average.
🔵 COUNT =COUNT(A1:A10) — Counts numbers.
🔵 COUNTA =COUNTA(A1:A10) — Counts non-empty cells.
🔵 IF =IF(A1>10, "Yes", "No") — Conditional result.
🔵 MIN =MIN(A1:A10) — Smallest value.
🔵 MAX =MAX(A1:A10) — Largest value.
🔵 VLOOKUP =VLOOKUP(B1, A1:D10, 2, FALSE) — Looks up value.
🔵 & =A1 & " " & B1 — Joins text.
🔵 LEN =LEN(A1) — Counts characters.