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1. What data sources can Power BI connect to? Ans: The list of data sources for Power BI is extensive, but it can be grouped into the following: Files: Data can be imported from Excel (.xlsx, xlxm), Power BI Desktop files (.pbix) and Comma Separated Value (.csv). Content Packs: It is a collection of related documents or files that are stored as a group. In Power BI, there are two types of content packs, firstly those from services providers like Google Analytics, Marketo, or Salesforce, and secondly those created and shared by other users in your organization. Connectors to databases and other datasets such as Azure SQL, Database and SQL, Server Analysis Services tabular data, etc. 2. What are the different integrity rules present in the DBMS? The different integrity rules present in DBMS are as follows: Entity Integrity: This rule states that the value of the primary key can never be NULL. So, all the tuples in the column identified as the primary key should have a value. Referential Integrity: This rule states that either the value of the foreign key is NULL or it should be the primary key of any other relation. 3. What are some common clauses used with SELECT query in SQL? Some common SQL clauses used in conjuction with a SELECT query are as follows: WHERE clause in SQL is used to filter records that are necessary, based on specific conditions. ORDER BY clause in SQL is used to sort the records based on some field(s) in ascending (ASC) or descending order (DESC). GROUP BY clause in SQL is used to group records with identical data and can be used in conjunction with some aggregation functions to produce summarized results from the database. HAVING clause in SQL is used to filter records in combination with the GROUP BY clause. It is different from WHERE, since the WHERE clause cannot filter aggregated records. 4. What is the difference between count, counta, and countblank in Excel? The count function is very often used in Excel. Here, let’s look at the difference between count, and it’s variants - counta and countblank. 1. COUNT It counts the number of cells that contain numeric values only. Cells that have string values, special characters, and blank cells will not be counted. 2. COUNTA It counts the number of cells that contain any form of content. Cells that have string values, special characters, and numeric values will be counted. However, a blank cell will not be counted. 3. COUNTBLANK As the name suggests, it counts the number of blank cells only. Cells that have content will not be taken into consideration.

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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? I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope this helps you 😊

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🔑5 Key SQL Aggregate Functions for data analyst ⌛️ SUM(): Adds up all the values in a numeric column. ⌛️ AVG(): Calculates the average of a numeric column. ⌛️ COUNT(): Counts the total number of rows or non-NULL values in a column. ⌛️MAX(): Returns the highest value in a column. ⌛️MIN(): Returns the lowest value in a column.

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