Must Study: These are the important Questions for Data Analyst ✅



SQL
1. How do you handle NULL values in SQL queries, and why is it important?
2. What is the difference between INNER JOIN and OUTER JOIN, and when would you use each?
3. How do you implement transaction control in SQL Server?

Excel
1. How do you use pivot tables to analyze large datasets in Excel?
2. What are Excel's built-in functions for statistical analysis, and how do you use them?
3. How do you create interactive dashboards in Excel?

Power BI
1. How do you optimize Power BI reports for performance?
2. What is the role of DAX (Data Analysis Expressions) in Power BI, and how do you use it?
3. How do you handle real-time data streaming in Power BI?

Python
1. How do you use Pandas for data manipulation, and what are some advanced features?
2. How do you implement machine learning models in Python, from data preparation to deployment?
3. What are the best practices for handling large datasets in Python?

Data Visualization
1. How do you choose the right visualization technique for different types of data?
2. What is the importance of color theory in data visualization?
3. How do you use tools like Tableau or Power BI for advanced data storytelling?

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