BSTL Global Solutions Private Limited Data Analyst Interview Questions and Answers

Forecasting problem - Predict daily sku level sales

Q1. What is difference between bias and variance
Ans. 
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is the error introduced by approximating a real-world problem, leading to underfitting.

• Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

• High bias can cause a model to miss relevant relationships between features and target variable.

• High variance can cause a model to ...read more
Answered by AI
Add your answer
Q2. Parametric vs non parametruc model
Ans. 
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
• Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

• Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

• Examples of parametric models inc...read more
Answered by AI
Add your answer

SQL Test with 5 questions

Q1. Approach towards solving the SQL Queries from the test
Add your answer
Q2. Past Experiences
Add your answer

Q1. Resume related Questions
Add your answer
Q2. Power BI and SQL related questions. How to approach in a dashboard building process
Add your answer

HTML and Aptitude Questions, Typing test, Hr Round

Q1. About ourselves, role which they hire, about organization
Add your answer
Q2. Tell me something about yourself? Why u want to work with Apex
Add your answer