Purpose

This assessment is designed for freshers with 0–1 year of experience aspiring to become Data Scientists in the IT, Software & ITeS industry. Its main goal is to evaluate fundamental data science skills and knowledge necessary for entry-level roles.

Overview

The assessment consists of questions that gauge the fundamental understanding of data science concepts, techniques, and tools. It is tailored for freshers aiming for entry-level data science positions. Core traits evaluated include analytical thinking, problem-solving, and technical proficiency in data manipulation and analysis. The test covers key areas such as regression, classification, feature engineering, and data handling techniques, ensuring that candidates have a solid foundation in essential data science practices. Additionally, it assesses familiarity with programming languages and libraries commonly used in the field, such as Python, to ensure readiness for real-world data science tasks.

• Industry: IT, Software & ITeS
• Level: Fresher
• Tag: Data Scientist
• Total Questions: 25

Skills

• Regression analysis
• Cross-validation
• Overfitting prevention
• Classification evaluation
• Imbalanced dataset handling
• Logistic regression
• Model performance evaluation
• Feature engineering
• Categorical variable handling
• Dimensionality reduction
• Exploratory data analysis
• Unsupervised learning
• Dataset splitting
• Regularization
• Classification algorithms
• Pattern recognition
• Statistical testing
• Missing value handling
• Data manipulation
• Central tendency measurement
• Data analysis process
• Programming in Python

Ideal Roles

• Junior Data Scientist
• Data Analyst
• Machine Learning Intern
• Data Science Trainee