Associate Data Analyst

Associate Data Analyst Interview Questions and Answers for Freshers

Updated 4 Apr 2024
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Q1. 5. What are stored procedures and when are they used?

Ans.

Stored procedures are pre-written SQL codes that can be saved and reused. They are used to improve performance and security.

  • Stored procedures are used to reduce network traffic by executing a batch of SQL statements at once.

  • They can improve performance by reducing the amount of time spent parsing and optimizing SQL statements.

  • Stored procedures can also enhance security by allowing access to only specific parts of the database.

  • Examples of stored procedures include creating a n...read more

Q2. 3. What was the finding from the project?

Ans.

The finding from the project was that there is a strong correlation between customer satisfaction and repeat purchases.

  • The project analyzed customer satisfaction surveys and purchase data

  • The data showed that customers who reported high satisfaction scores were more likely to make repeat purchases

  • This finding suggests that improving customer satisfaction can lead to increased customer loyalty and revenue

Q3. 5. Name three things that your learnt from your Data Science and Analytics course.

Ans.

Three things I learned from my Data Science and Analytics course are statistical analysis, data visualization, and machine learning.

  • Statistical analysis: Learned how to use statistical methods to analyze data and draw conclusions.

  • Data visualization: Learned how to create visual representations of data to better understand patterns and trends.

  • Machine learning: Learned how to use algorithms to build predictive models and make data-driven decisions.

Q4. 3. Execute a SQL query to get the top second row.

Ans.

SQL query to get the second row from the top.

  • Use the LIMIT keyword to limit the number of rows returned.

  • Use the OFFSET keyword to skip the first row.

  • Order the rows by a column to ensure consistent results.

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Q5. 2. Explain the data process in your project

Ans.

The data process in my project involves data collection, cleaning, analysis, and visualization.

  • Data collection involved gathering data from various sources such as surveys, databases, and APIs.

  • Data cleaning was done to remove duplicates, missing values, and outliers.

  • Data analysis was performed using statistical methods and machine learning algorithms.

  • Data visualization was used to present the findings in a clear and concise manner.

  • The process was iterative, with each step inf...read more

Q6. 4. Difference between DBMS and RDBMS

Ans.

DBMS is a software system to manage databases, while RDBMS is a type of DBMS that uses a relational model.

  • DBMS stands for Database Management System, while RDBMS stands for Relational Database Management System.

  • DBMS can manage any type of database, while RDBMS uses a specific model based on tables, keys, and relationships.

  • DBMS is less strict in terms of data integrity, while RDBMS enforces strict rules to ensure data consistency.

  • Examples of DBMS include MongoDB and Cassandra,...read more

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Q7. Difference between Bar chart and histogram chart

Ans.

Bar chart is used to compare different categories, while histogram is used to show distribution of continuous data.

  • Bar chart has discrete categories on x-axis, while histogram has continuous data on x-axis.

  • Bar chart has gaps between bars, while histogram bars are adjacent to each other.

  • Bar chart is used for categorical data, while histogram is used for numerical data.

  • Example: Bar chart can show sales data for different products, while histogram can show distribution of height...read more

Q8. what do you know about excel?

Ans.

Excel is a powerful spreadsheet program used for data analysis, calculations, and visualization.

  • Excel is part of Microsoft Office suite

  • It allows users to organize data, perform calculations, and create charts

  • Functions like VLOOKUP, SUMIF, and PivotTables are commonly used for data analysis

  • Excel can handle large datasets and automate repetitive tasks with macros

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