✅ Power BI Basics 📊🚀

👉 Power BI is one of the most popular Business Intelligence BI tools used for:
✔ Data visualization
✔ Dashboard creation
✔ Business reporting

It is widely used by:
✔ Data Analysts
✔ Business Analysts
✔ Data Scientists

🔹 1. What is Power BI?
Power BI is a Microsoft tool used to transform raw data into:
📊 Interactive dashboards
📈 Reports
📉 Visual insights

🔥 2. Components of Power BI
✅ Power BI Desktop
👉 Used to create reports & dashboards.

✅ Power BI Service
👉 Cloud platform for sharing reports online.

✅ Power BI Mobile
👉 Access dashboards on mobile devices.

🔹 3. Power BI Workflow ⭐
Data → Cleaning → Modeling → Visualization → Dashboard → Sharing

🔹 4. Connecting Data Sources
Power BI can connect with:
✔ Excel
✔ SQL Database
✔ CSV Files
✔ APIs
✔ Cloud services

🔹 5. Power Query Data Cleaning
Used for:
✔ Removing duplicates
✔ Changing data types
✔ Filtering rows
✔ Merging data

👉 Similar to data cleaning in Pandas.

🔹 6. Data Modeling
👉 Relationships between tables.

Examples:
✔ One-to-Many
✔ Many-to-One

🔥 7. Visualizations in Power BI
Popular visuals:
✔ Bar Chart
✔ Line Chart
✔ Pie Chart
✔ Table
✔ KPI Cards
✔ Maps

🔹 8. DAX Data Analysis Expressions
DAX is the formula language of Power BI.

Example:
Total Sales = SUM(Sales[Amount])

🔹 9. Why Power BI is Important?
✔ Highly demanded skill
✔ Used in real companies
✔ Important for dashboards & reporting
✔ Great for storytelling with data

🎯 Today’s Goal
✔ Understand Power BI basics
✔ Learn workflow
✔ Understand Power Query & DAX
✔ Learn dashboard concepts

Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c

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🔥 SQL Interview Concept You MUST Know: LEAD()

LEAD() is a powerful SQL window function that lets you access data from the next row without using a self join.
It's widely used in analytics to compare current values with future values in a dataset.

📌 Key points:

🔹 Retrieves values from the next row
🔹 Uses the OVER() clause
🔹 Eliminates the need for self joins
🔹 Ideal for sequential and time-series analysis
🔹 Common in advanced SQL interview questions

💡 Common interview use cases:

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✅ Building analytical business reports

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🔥 SQL Interview Concept You MUST Know: COUNT()

COUNT() is one of the most commonly asked SQL functions in Data Analyst interviews.

It helps you count rows, records, or unique values, making it essential for reporting and data analysis.

📌 Key points:

🔹 Counts rows in a table
🔹 Can count non-NULL values using a column
🔹 COUNT(*) includes all rows
🔹 COUNT(DISTINCT column) counts unique values
🔹 Frequently used with GROUP BY

💡 Common interview use cases:

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✅ Finding the number of orders per customer
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✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊

📌 Scenario 81

Question: You have a list of sales transactions and need to calculate a running total that updates as you move down the rows. How would you do it?

Answer: Use SUM() with an expanding range.

Example:

=SUM($B$2:B2)

Copy the formula down. Each row will show the cumulative sales up to that transaction.

📊 Scenario 82

Question: Your manager wants to compare this year's sales with last year's sales and calculate the growth percentage. How would you do it?

Answer: Use the percentage growth formula.

Example:

=(B2-C2)/C2

Where B2 is the current year's sales and C2 is the previous year's sales. Format the result as a Percentage.

📅 Scenario 83

Question: You have a list of employee joining dates and want to identify employees who joined within the last 30 days. How would you do it?

Answer: Use IF() with TODAY().

Example:

=IF(AND(A2>=TODAY()-30,A2<=TODAY()),"Joined Last 30 Days","Older")

📈 Scenario 84

Question: Your sales report contains values such as "₹1,000", "₹2,500", and "₹5,000" stored as text. How would you convert them into numbers?

Answer: Remove the currency symbol and convert the remaining text to a number.

Example:

=VALUE(SUBSTITUTE(A2,"₹",""))

This converts the text value into a numeric value that can be used in calculations.

🔍 Scenario 85

Question: You need to compare two lists of Employee IDs and identify which IDs are missing from the second list. How would you do it?

Answer: Use XLOOKUP() with ISNA().

Example:

=IF(ISNA(XLOOKUP(A2,List2!A:A,List2!A:A)),"Missing","Found")

This identifies whether each Employee ID from the first list exists in the second list.

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✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊

📌 Scenario 86

Question: You have a sales dataset with multiple transactions for the same customer. Your manager wants to calculate each customer's total sales without creating a Pivot Table. How would you do it?

Answer: Use SUMIF().

Example:

=SUMIF($A$2:$A$100,A2,$B$2:$B$100)

Where A contains Customer IDs and B contains Sales.

📊 Scenario 87

Question: You need to find the percentage of sales contributed by each region compared with total company sales. How would you calculate it?

Answer: Divide the region's sales by the total sales.

Example:

=B2/SUM($B$2:$B$10)

Format the result as a Percentage.

📅 Scenario 88

Question: Your manager wants to know whether each transaction occurred on a weekend. How would you identify it?

Answer: Use WEEKDAY() with IF().

Example:

=IF(WEEKDAY(A2,2)>5,"Weekend","Weekday")

With 2 as the second argument, Monday = 1 and Sunday = 7.

📈 Scenario 89

Question: You have a list of sales values and need to calculate the median sales amount instead of the average. Which function would you use?

Answer: Use MEDIAN().

Example:

=MEDIAN(B2:B100)

This returns the middle value when the sales values are arranged in order.

🔍 Scenario 90

Question: Your dataset contains product names with unwanted line breaks copied from another system. How would you remove them?

Answer: Use CLEAN().

Example:

=CLEAN(A2)

For extra spaces as well, you can combine it with TRIM():

=TRIM(CLEAN(A2))

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✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊

📌 Scenario 91

Question: You have sales data for multiple regions and want to automatically return the region with the highest sales. How would you do it?

Answer: Use "INDEX()" with "MATCH()" and "MAX()".

Example:

"=INDEX(A2:A10,MATCH(MAX(B2:B10),B2:B10,0))"

This returns the region corresponding to the highest sales value.

📊 Scenario 92

Question: You need to calculate the average sales for transactions greater than ₹50,000. How would you do it?

Answer: Use "AVERAGEIF()".

Example:

"=AVERAGEIF(B2:B100,">50000",B2:B100)"

This calculates the average of only those sales values greater than ₹50,000.

📅 Scenario 93

Question: You have a list of dates and want to group them into months for reporting. How would you do it?

Answer: Use a Pivot Table.

Add the Date field to Rows → Right-click any date → Group → Select Months (and Years if required).

📈 Scenario 94

Question: Your manager wants to see sales performance visually and interactively by region, product, and month. What would you use?

Answer: Create a Pivot Chart with Slicers.

Create a Pivot Table → Insert Pivot Chart → Add slicers for Region, Product, and other relevant fields. This allows users to filter the report interactively.

🔍 Scenario 95

Question: You need to identify the 3rd highest unique sales value, even when duplicate sales amounts exist. How would you do it?

Answer: In modern Excel, combine "UNIQUE()" and "LARGE()".

Example:

"=LARGE(UNIQUE(B2:B100),3)"

This returns the 3rd highest distinct sales value.

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