Data science aptitude test helps recruiters evaluate candidates required technical as well as aptitude skills. This assessment is a good combination of questions on data science, SQL, data wrangling and quantitative aptitude to quantify candidates' aptitude for data science.
Data Science is an interdisciplinary field that incorporates data analysis fields including statistics, machine learning, and predictive analysis. Its purpose is to evaluate analytics and data science techniques. Methods and theories from other sectors, such as mathematics, information science, computer science, and statistics, are also used in data science.
Data science aptitude test is designed and validated by experienced Subject Matter Experts (SMEs) to assess and hire data science professionals as per industry standards. Check out the list of data science interview questions and answers to ask for Technical Recruiters & Hiring Managers.
Data science aptitude test helps to screen candidates possessing the following traits:
This test is designed considering EEOC guidelines. It will help you assess & hire diverse talent without any bias. Recruiters/hiring managers can access comprehensive reports for each candidate that will give an overview of candidate’s performance in each section at a glance. Moreover, Test Insights section helps to identify job fit candidates more accurately with score distribution and section analysis features.
This test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.