TOPS Technologies Data Analyst Interview Questions and Answers

Sql, numpy, pandas, dictionary, pandas group by, merging

Q1. Normal questions
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Q1. How would you use your skill for sales
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Q1. SQL queries , python pandas and numpy , power bi related questions
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Q1. Previous experience, skills and expertise
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Q1. SQL question difference between having and where
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Sql, numpy, pandas, dictionary, pandas group by, merging

Q1. Normal questions
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Q1. What is Left Join?
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Left Join is a type of join operation in SQL that returns all rows from the left table and the matched rows from the right table.
• Left Join combines rows from two tables based on a related column between them.

• It includes all rows from the left table, even if there are no matches in the right table.

• If there are no matches, NULL values are included for columns from the right table.

• Example: SELECT * FROM table1 LEFT JOIN t
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Q2. What is the Execution Order in SQL Queries?
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SQL queries are executed in a specific order to ensure accurate results.
• SQL queries are executed in the following order: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY.

• The FROM clause specifies the tables involved in the query.

• The WHERE clause filters the rows based on specified conditions.

• The GROUP BY clause groups the rows based on specified columns.

• The HAVING clause filters the grouped rows based on specified condi...read more
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Q3. The 25 Horse Problem.
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Q4. A problem related to relative speed.
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Q5. Describe the project you worked on.
Ans. 
Developed a predictive analytics model for customer churn in a telecom company.
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify patterns and trends

• Built a machine learning model to predict customer churn

• Evaluated the model's performance using metrics like accuracy and precision

• Provided actionable insights to reduce customer churn rate
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Q6. What approach did you take and why?
Ans. 
I took a structured approach by first defining the problem, collecting relevant data, analyzing the data, and then presenting findings.
• Defined the problem statement clearly to understand the scope of analysis

• Collected relevant data from various sources such as databases, surveys, and external research

• Analyzed the data using statistical tools and techniques to derive insights

• Presented findings in a clear and concise man
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Q7. Which machine learning models did use see and why?
Ans. 
I have experience with various machine learning models such as linear regression, decision trees, random forests, and neural networks.
• Linear regression is used for predicting continuous outcomes.

• Decision trees are used for classification and regression tasks.

• Random forests are an ensemble method that combines multiple decision trees for improved accuracy.

• Neural networks are used for complex pattern recognition and pred
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Q1. SQL queries , python pandas and numpy , power bi related questions
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Q1. Previous experience, skills and expertise
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Q1. How would you use your skill for sales
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