50 𝐨𝐟 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐄𝐱𝐜𝐞𝐥 𝐟𝐨𝐫𝐦𝐮𝐥𝐚𝐬 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐭𝐚𝐬𝐤𝐬 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭𝐥𝐲.


S𝐔𝐌: Adds up numbers in a range.
𝐀𝐕𝐄𝐑𝐀𝐆𝐄: Calculates the average of numbers in a range.
𝐌𝐀𝐗: Returns the largest number in a range.
𝐌𝐈𝐍: Returns the smallest number in a range.
𝐂𝐎𝐔𝐍𝐓: Counts the number of cells that contain numbers in a range.
𝐂𝐎𝐔𝐍𝐓𝐀: Counts the number of non-empty cells in a range.
𝐈𝐅: Checks if a condition is met and returns one value if true and another value if false.
𝐕𝐋𝐎𝐎𝐊𝐔𝐏: Searches for a value in the first column of a table and returns a value in the same row from another column.
𝐇𝐋𝐎𝐎𝐊𝐔𝐏: Similar to VLOOKUP, but searches for a value in the first row of a table.
𝐈𝐍𝐃𝐄𝐗: Returns the value of a cell in a specific row and column of a range.
𝐌𝐀𝐓𝐂𝐇: Returns the relative position of an item in a range.
𝐂𝐎𝐍𝐂𝐀𝐓𝐄𝐍𝐀𝐓𝐄: Joins two or more text strings into one string.
𝐋𝐄𝐅𝐓: Returns the leftmost characters from a text string.
𝐑𝐈𝐆𝐇𝐓: Returns the rightmost characters from a text string.
𝐋𝐄𝐍: Returns the number of characters in a text string.
𝐓𝐑𝐈𝐌: Removes leading and trailing spaces from a text string.
𝐔𝐏𝐏𝐄𝐑: Converts text to uppercase.
𝐋𝐎𝐖𝐄𝐑: Converts text to lowercase.
𝐏𝐑𝐎𝐏𝐄𝐑: Capitalizes the first letter of each word in a text string.
𝐓𝐄𝐗𝐓: Formats a number or date value as text using a specified format.
𝐃𝐀𝐓𝐄: Returns the serial number of a particular date.
𝐓𝐎𝐃𝐀𝐘: Returns the current date.
𝐍𝐎𝐖: Returns the current date and time.
𝐃𝐀𝐓𝐄𝐃𝐈𝐅: Calculates the difference between two dates in years, months, or days.
𝐄𝐎𝐌𝐎𝐍𝐓𝐇: Returns the last day of the month, n months before or after a given date.
𝐑𝐎𝐔𝐍𝐃: Rounds a number to a specified number of digits.
𝐑𝐎𝐔𝐍𝐃𝐔𝐏: Rounds a number up, away from zero, to the nearest multiple of significance.
𝐑𝐎𝐔𝐍𝐃𝐃𝐎𝐖𝐍: Rounds a number down, toward zero, to the nearest multiple of significance.
𝐈𝐅𝐄𝐑𝐑𝐎𝐑: Returns a value you specify if a formula evaluates to an error, otherwise returns the result of the formula.
𝐒𝐔𝐌𝐈𝐅: Adds the cells specified by a given condition or criteria.
𝐒𝐔𝐌𝐈𝐅𝐒: Adds the cells in a range that meet multiple criteria.
𝐀𝐕𝐄𝐑𝐀𝐆𝐄𝐈𝐅: Calculates the average of cells specified by a given condition or criteria.
𝐀𝐕𝐄𝐑𝐀𝐆𝐄𝐈𝐅𝐒: Calculates the average of cells that meet multiple criteria.
𝐂𝐎𝐔𝐍𝐓𝐈𝐅: Counts the number of cells specified by a given condition or criteria.
COUNTIFS: Counts the number of cells that meet multiple criteria.
RAND: Returns a random number between 0 and 1.
RANDBETWEEN: Returns a random number between the numbers you specify.
PI: Returns the value of pi (3.14159265358979).
POWER: Raises a number to a power.
SQRT: Returns the square root of a number.
LOG: Returns the logarithm of a number to the base you specify.
EXP: Returns e raised to the power of a given number.
MOD: Returns the remainder of a division operation.
INT: Rounds a number down to the nearest integer.
ABS: Returns the absolute value of a number.
AND: Returns TRUE if all its arguments are TRUE, and FALSE otherwise.
OR: Returns TRUE if any argument is TRUE, and FALSE otherwise.
NOT: Returns the opposite of a logical value.
SUMPRODUCT: Multiplies corresponding components in the given arrays, and returns the sum of those products.
TRANSPOSE: Transposes rows and columns in a range of cells.

Complete step-by-step syllabus of #Excel for Data Analytics

Introduction to Excel for Data Analytics:
Overview of Excel's capabilities for data analysis
Introduction to Excel's interface: ribbons, worksheets, cells, etc.
Differences between Excel desktop version and Excel Online (web version)

Data Import and Preparation:
Importing data from various sources: CSV, text files, databases, web queries, etc.
Data cleaning and manipulation techniques: sorting, filtering, removing duplicates, etc.
Data types and formatting in Excel
Data validation and error handling

Data Analysis Techniques in Excel:
Basic formulas and functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, etc.
Advanced functions for data analysis: INDEX-MATCH, SUMIFS, COUNTIFS, etc.
PivotTables and PivotCharts for summarizing and analyzing data
Advanced data analysis tools: Goal Seek, Solver, What-If Analysis, etc.

Data Visualization in Excel:
Creating basic charts: column, bar, line, pie, scatter, etc.
Formatting and customizing charts for better visualization
Using sparklines for visualizing trends in data
Creating interactive dashboards with slicers and timelines

Advanced Data Analysis Features:
Data modeling with Excel Tables and Relationships
Using Power Query for data transformation and cleaning
Introduction to Power Pivot for data modeling and DAX calculations
Advanced charting techniques: combination charts, waterfall charts, etc.

Statistical Analysis in Excel:
Descriptive statistics: mean, median, mode, standard deviation, etc.
Hypothesis testing: t-tests, chi-square tests, ANOVA, etc.
Regression analysis and correlation
Forecasting techniques: moving averages, exponential smoothing, etc.

Data Visualization Tools in Excel:
Introduction to Excel add-ins for enhanced visualization (e.g., Power Map, Power View)
Creating interactive reports with Excel add-ins
Introduction to Excel Data Model for handling large datasets

Real-world Projects and Case Studies:
Analyzing real-world datasets
Solving business problems with Excel
Portfolio development showcasing Excel skills

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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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Why is Excel Often the Starting Point for SQL ?


Here's how Excel can help you before you dive into SQL:

✔️ 𝐕𝐋𝐎𝐎𝐊𝐔𝐏 = 𝐒𝐐𝐋 𝐉𝐎𝐈𝐍𝐒
In Excel, we use VLOOKUP to bring together data from different sheets. It's just like using JOINS in SQL to get data from more than one table.

✔️ 𝐒𝐔𝐌 𝐚𝐧𝐝 𝐂𝐎𝐔𝐍𝐓 𝐟𝐨𝐫 𝐒𝐐𝐋 𝐐𝐮𝐞𝐫𝐢𝐞𝐬
Excel's SUM and COUNT functions are like practice for SQL queries. They help you add up and count things, which is what you often do in SQL.

✔️ 𝐅𝐈𝐋𝐓𝐄𝐑 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭𝐬 & 𝐖𝐇𝐄𝐑𝐄 𝐢𝐧 𝐒𝐐𝐋
Excel's 𝐅𝐈𝐋𝐓𝐄𝐑 statements let you make choices with your data. This is similar to using WHERE in SQL to pick specific data.

✔️ 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐃𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐓𝐞𝐱𝐭
Both Excel and SQL have ways to work with dates and text. Learning these in Excel first can make it easier when you switch to SQL.

✔️ 𝐏𝐢𝐯𝐨𝐭 𝐓𝐚𝐛𝐥𝐞𝐬 & 𝐆𝐑𝐎𝐔𝐏 𝐁𝐘 𝐢𝐧 𝐒𝐐𝐋
Ever used pivot tables in Excel? They're a good start for understanding the GROUP BY function in SQL, which helps you organize and summarize data.

✔️ 𝐗𝐋𝐎𝐎𝐊𝐔𝐏 & 𝐇𝐲𝐩𝐞𝐫𝐥𝐢𝐧𝐤𝐬
Excel's XLOOKUP and hyperlinks are like SQL's ways of finding and linking data. They give you a peek into how SQL finds and connects information.

Learning Excel first makes SQL easier to understand. It's not just about learning a tool, it's about getting ready for the bigger world of data!

You will be asked questions on SQL in interviews for sure! Make sure to practice 2-3 questions daily, it can't be mastered overnight!

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These 10 tips will make you feel like an expert and increase your productivity 100X:

1. Excel Keyboard Shortcuts:

These save a lot of time.

For example, you can press "Ctrl+C" to copy, "Ctrl+V" to paste, and "Ctrl+Z" to undo.

There are many more, so check out this cheatsheet:

Excel for Data Analysis

2. VLOOKUP:

VLOOKUP lets you search for a value in a table and returns a value from another column in the same row.

For example, you can use it to find a person's phone number based on their name.

Just type "=VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])" and replace the parts in brackets with your data.

3. IF statements:

IF statements let you make decisions in your formulas.

For example, you can make a cell display "Yes" if a number is greater than 100, and "No" if it's not.

Just type "=IF(condition, value_if_true, value_if_false)" and replace the parts in brackets with your data.

4. Charts and Graphs:

You can turn data into a picture, like a pie chart or a bar graph.

Just click on the data you want to show, go to the "Insert" tab, and choose the chart or graph you want.

5. Basic Functions:

Excel has a bunch of built-in functions that make life easier.

For example, SUM, AVERAGE, and COUNT can help you add, find the average, and count numbers in a range of cells.

Just type the function name, like "=SUM(A1:A10)" to add numbers in cells A1 to A10.

6 . Quick Analysis:

Quick Analysis makes it easy to create charts, tables, and other visualizations from your data.

Just select the data you want to analyze, and click the Quick Analysis button that appears in the bottom-right corner.

7. Goal Seek:

Goal Seek lets you find the input value needed to reach a specific goal.

For example, you can find the interest rate needed to reach a certain investment goal.

Excel Useful Shortcuts
👇👇
https://www.linkedin.com/posts/sql-analysts_excel-activity-7205903255766282240-HH5D

8. Pivot Tables:

These are great for summarizing large amounts of data.

You can quickly see the total, average, or count of numbers in a table.

Click on your data, go to the "Insert" tab, and choose "Pivot Table."

9. Conditional Formatting:

This lets you change the color of cells based on their value.

For example, you can make negative numbers red and positive numbers green.

Just select the cells, click "Conditional Formatting," and choose the style you want.

10. Remove duplicates:

Delete duplicate rows in your data.

Click Data > Remove Duplicates and select which columns to assess uniqueness.