Interview Questions and Answers

Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain-specific knowledge to analyze and interpret complex data sets.

The primary goal of data science is to uncover hidden patterns, correlations, and trends in data that can be used to make informed decisions and predictions. Data scientists use a variety of tools and techniques, including statistical analysis, machine learning, data visualization, and big data technologies, to extract meaningful information from large and diverse data sets.

Data science examples in business include processes such as aggregating a customer's email address, credit card information, social media handles, and purchase identifications in order to identify trends in their behavior.

Example:

Creating a new feature 'days_since_last_purchase' for a customer churn prediction model.

Example:

Converting categorical variables like 'color' into binary vectors (e.g., red: [1, 0, 0], blue: [0, 1, 0], green: [0, 0, 1]).