Automatic Data Processing (ADP) Data Analyst Interview Questions and Answers

Aptitude test for selection.

Q1. What is your understanding of data analytics?
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Q2. What is the significance of data analytics in analyzing and visualizing data?
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Q1. Basic of python , sql, pandas,niumpy
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Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it
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Q1. Introduction about our self
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I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.
• I have a strong background in statistical analysis and data visualization techniques.

• Proficient in SQL, Python, and Tableau for data manipulation and reporting.

• Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.
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Q2. Complete discussion about projects
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Learn and study about Aptitude like Quantitative aptitude, verbal and reasoning. Practice more and attend more mock test

Q1. What is SQL ? What are the market trend
Ans. 
SQL is a programming language used for managing and manipulating relational databases.
• SQL stands for Structured Query Language.

• It is used to communicate with and manipulate databases.

• SQL can be used to create, modify, and retrieve data from databases.

• It is widely used in data analysis and data management roles.

• Some popular relational database management systems that use SQL include MySQL, Oracle, and SQL Server.
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KPI's for the ecommerce industries

Common aptitude, some questions from C, C++, and java were also asked

Q1. Data structures and algorithms
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Q2. Machine learning algorithms
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Machine learning algorithms are used to train models to make predictions or decisions based on data.
• Machine learning algorithms can be supervised, unsupervised, or semi-supervised

• Examples of machine learning algorithms include linear regression, decision trees, and neural networks

• Machine learning algorithms require large amounts of data to train and validate models

• The choice of algorithm depends on the problem being so
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Q1. Dense rank and row number differenxw
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Difference between dense rank and row number
• Dense rank assigns the same rank to ties, while row number assigns a unique rank to each row

• Dense rank skips ranks when there are ties, while row number does not

• Dense rank is used to calculate percentiles, while row number is used for pagination
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Q2. Sql and nosql diff? Python functions
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