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 foundational analytics skills and knowledge necessary for the 'Associate - Analytics' role.

Overview

The assessment consists of questions that cover a range of topics essential for an 'Associate - Analytics' role, targeting early professionals with 2–4 years of experience. It evaluates core traits such as analytical thinking, problem-solving, and proficiency in statistical methods, data mining, and machine learning. The test includes questions on survival analysis, logistic regression, clustering, hypothesis testing, and programming languages used in analytics. It aims to identify candidates who possess a strong foundation in analytics, capable of performing data analysis, visualization, and interpretation tasks effectively. The assessment is structured to assess both theoretical knowledge and practical application skills.

• Industry: IT, Software & ITeS
• Level: Early Professional
• Tag: Associate - Analytics
• Total Questions: 25

Skills

• Survival Analysis
• Pareto Analysis
• Logistic Regression
• Bias Identification
• K-means Clustering
• Statistical Testing
• Association Rule Learning
• Time-weighted Averages
• Chi-square Testing
• Data Transformation
• R-squared Interpretation
• Bayesian Analysis
• Cross-validation
• Data Visualization
• Autocorrelation
• Hypothesis Testing
• Programming for Analytics
• A/B Testing
• Exploratory Data Analysis
• Decision Trees
• Statistical Measures
• Feature Engineering
• Sampling Methods
• Scatter Plot Analysis

Ideal Roles

• Data Analyst
• Business Analyst
• Junior Data Scientist
• Analytics Associate