Amazon Development Centre India Senior Data Analyst Interview Questions and Answers

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Q1. What is a logistic regression model?
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)

• It estimates the probability that a given input belongs to a particular category.

• The model calculates the odds of the event happening.

• It uses a logistic function to map the input values to ...read more
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Q2. Explain the random forest model.
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree is built using a subset of the training data and a random subset of features.

• The final prediction is made by averaging the predictions of all the individual trees.

• Random...read more
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Q3. Explain decision trees
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Decision trees are a popular machine learning algorithm used for classification and regression tasks.
• Decision trees are a flowchart-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

• They are easy to interpret and visualize, making them popular for exploratory data analysis.

• Decision trees can handle both numerical ...read more
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Q1. How do you see yourself in next 5 years?
Ans. 
In the next 5 years, I see myself growing into a senior data scientist role, leading projects and mentoring junior team members.
• Continuing to enhance my skills in data analysis, machine learning, and programming languages such as Python and R

• Taking on more responsibilities in project management and client interactions

• Working towards becoming a subject matter expert in a specific industry or domain

• Mentoring and guiding ...read more
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Q2. What are you 5 years back.what is the difference?
Ans. 
I was a student pursuing my undergraduate degree in Computer Science.
• 5 years back, I was studying Computer Science in college.

• Now, I have completed my degree and gained experience in data science through internships and projects.

• I have developed strong analytical and programming skills over the past 5 years.

• I have also learned new technologies and tools in the field of data science.

• I have a better understanding of real
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Q1. Explain all of decision tree and random forest?
Ans. 
Decision tree is a tree-like model of decisions and their possible consequences, while random forest is an ensemble learning method that builds multiple decision trees and merges them together.
• Decision tree is a flowchart-like structure where each internal node represents a decision based on an attribute, each branch represents the outcome of the decision, and each leaf node represents a class label.

• Random forest is a ...read more
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Q2. Some basic probability questions
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Q1. Projects Worked
Ans. 
I have worked on various projects involving data analysis, visualization, and interpretation.
• Developed predictive models using machine learning algorithms

• Performed data cleaning and preprocessing to ensure accuracy

• Created interactive dashboards for stakeholders to easily understand insights
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Q2. SQL functions used in the projects
Ans. 
Common SQL functions used in projects include COUNT, SUM, AVG, MAX, MIN, and GROUP BY.
• COUNT: Used to count the number of rows in a table.

• SUM: Used to calculate the sum of a column.

• AVG: Used to calculate the average value of a column.

• MAX: Used to find the maximum value in a column.

• MIN: Used to find the minimum value in a column.

• GROUP BY: Used to group rows that have the same values into summary rows.
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Q3. Machine learning alogriths
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Q1. Basic to Advanced level of SQL
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Q2. Discussed 1 -2 Business Cases studies
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Basic questions based on Sql