Purpose

This assessment is designed for early professionals with 2–4 years of experience in the IT, Software & ITeS industry. Its main goal is to evaluate candidates' understanding of AI concepts and proficiency in R programming.

Overview

The test comprises questions targeting key areas in AI and R programming, suitable for early professionals with 2–4 years of experience. It assesses core skills like data manipulation, machine learning, and algorithmic understanding. The test evaluates candidates' ability to handle class imbalance, feature scaling, and missing data, while also gauging their proficiency in using R functions and packages for data analysis and visualization. Additionally, it examines understanding of concepts like overfitting, regularization, and cross-validation, essential for roles like Data Analyst and Machine Learning Engineer.

• Industry: IT, Software & ITeS
• Level: Early Professional
• Tag: Artificial Intelligence Concepts and R Programming
• Total Questions: 25

Skills

• AI concepts
• R programming
• Machine learning
• Data manipulation
• Data visualization
• Natural language processing
• Clustering
• Classification

Ideal Roles

• Data Analyst
• Machine Learning Engineer
• Data Scientist
• AI Specialist
• R Programmer