Data Science Interview Mate-Data Science interview preparation

Example

A user can be given a problem to write a SQL query to calculate the top 3 sales books for each month, using dense rank and subqueries.

Scenario

This function helps users improve their SQL query writing skills, which is crucial for data analysis roles. For instance, a candidate applying for a data analyst position might need to demonstrate their ability to handle complex SQL queries during their interview.

Example

A user might be asked to write a function to reverse an array without affecting special characters.

Scenario

Python coding practice prepares users for technical coding interviews where they need to solve problems efficiently using Python. This is essential for roles that require scripting and data manipulation.

Example

A user might be asked to compare different machine learning models like Random Forest and Gradient Boosting, discussing their pros and cons.

Scenario

This function helps users articulate their understanding of various machine learning algorithms, which is often tested in data science interviews. It prepares them to explain their choices and thought processes clearly.