Atos Data Analyst Interview Questions and Answers

Q1. DAX Related Syntax and Codes
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Q2. Data Modelling, SQL, Python
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Q1. No Response from HR after calling of selection after Round 1
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Q1. What is the importance of data analysis?
Ans. 
Data analysis is crucial for making informed decisions, identifying trends, and solving complex problems.
• Helps in making informed decisions based on data-driven insights

• Identifies trends and patterns that can lead to strategic business decisions

• Aids in solving complex problems by analyzing data to find root causes

• Improves efficiency and effectiveness of processes through data-driven optimizations
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Q2. What steps should be taken to become a data analyst?
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To become a data analyst, one should focus on acquiring relevant education, gaining experience with data analysis tools, and developing strong analytical and problem-solving skills.
• Obtain a degree in a related field such as statistics, mathematics, computer science, or data science.

• Gain experience with data analysis tools such as SQL, Python, R, and Excel.

• Develop strong analytical and problem-solving skills by working ...read more
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Q1. What are the different kinds of joins
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Different kinds of joins include inner join, outer join, left join, and right join.
• Inner join: Returns only the rows that have matching values in both tables.

• Outer join: Returns all rows when there is a match in one of the tables.

• Left join: Returns all rows from the left table and the matched rows from the right table.

• Right join: Returns all rows from the right table and the matched rows from the left table.
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Q2. What is the difference between columns and measures in power BI
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Columns are the fields in a dataset, while measures are calculations based on those fields in Power BI.
• Columns are the raw data fields in a dataset, such as 'Sales Amount' or 'Product Category'.

• Measures are calculations performed on columns, like sum, average, count, etc.

• Measures are created using DAX (Data Analysis Expressions) in Power BI.

• Columns are used for grouping, filtering, and slicing data, while measures are
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Q3. How can you remove duplicates in sql
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Use the DISTINCT keyword in a SELECT statement to remove duplicates in SQL.
• Use the DISTINCT keyword in a SELECT statement to retrieve unique values.

• Example: SELECT DISTINCT column_name FROM table_name;

• Another way is to use the GROUP BY clause to remove duplicates.

• Example: SELECT column_name FROM table_name GROUP BY column_name;
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Q1. Interesting facts about ourselves
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Q2. Introduced about ourselves
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It was not easy only people can clear who are better in pandas and numpy

Q1. Mostly focus on graphs and dp
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Q1. Self introduction
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Q2. Previous job experiences
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Q1. Mostly from basic sql
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Q1. Mostly basic sql
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