A company wants to increase its online sales

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Written Test Questions for a Data Analyst Technical Questions SQL: Write a SQL query to find the total sales for each product from the 'sales' table. Explain the difference between a JOIN and a UNION in SQL. How would you handle missing values ​​in a dataset using SQL? Data Cleaning: Describe the steps involved in cleaning a dataset. How would you identify and handle outliers in a dataset? What is data normalization, and why is it important? Statistical Concepts: Explain the difference between correlation and causation. What is the Central Limit Theorem? How would you calculate the mean, median, and mode of a dataset? Data Visualization: When is a bar chart more appropriate than a line chart? What are some best practices for creating effective data visualizations? How would you create a scatter plot to visualize the relationship between two variables.
Data Analysis Tools: What is the difference between Python and R for data analysis? What is the purpose of a pivot table in Excel? How would you use Tableau to create a dashboard? Business Understanding and Problem-Solving Scenario-Based Question: You're tasked with analyzing customer churn data. Describe the steps you would take to identify the root causes of churn and recommend solutions. Phone Number customer demographics, and marketing campaign information, analyze the data to identify trends and insights. Problem-Solving:.How would you approach this problem using data analysis? Soft Skills Communication: Explain how you would communicate complex data findings to a non-technical audience. Problem-Solving: Describe a time when you faced a challenging data analysis problem and how you overcame it. Attention to Detail: How do you ensure data accuracy and consistency in your work? Note: The specific questions may vary depending on the company and the role.




Describe the steps involved in cleaning a dataset. How would you identify and handle outliers in a dataset? What is data normalization, and why is it important? Statistical Concepts: Explain the difference between correlation and causation. What is the Central Limit Theorem? : When is a bar chart more appropriate than a line chart? What are some best practices for creating effective data visualizations? How would you create a scatter plot to visualize the relationship between two variables? Data Analysis Tools: What is the difference between Python and R for data analysis? What is the purpose of a pivot table in Excel? How would you use Tableau to create a dashboard? Business Understanding and Problem-Solving Scenario-Based Question: You're tasked with analyzing customer churn data. Describe the steps you would take to identify the root causes of churn and recommend solutions. Data Interpretation: Given a dataset with sales data, customer demographics, and marketing campaign information, analyze the data to identify trends and insights. Problem-Solving: