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Data Science Aptitude Test sample questions Data Science Aptitude Test sample questions

Data Science Aptitude Test

Topics covered

  • Classification and Regression Algorithms: This test helps recruiters to understand the candidate’s knowledge of dividing the dataset into different classes and ability to find the best fit line
  • which can predict the output more accurately.
  • Data Extraction and Mining: This test helps recruiters in evaluating the skills of a candidate to analyze large data sets using machine learning
  • statistical and mathematical techniques and extraction of data from online sources into centralized storage.
  • Imbalanced Datasets & Sampling Distributions: This test aids the recruiters in analyzing  candidate’s understanding of classification data set with skewed class proportion and statistics through repeated sampling.
  • Optimizing Functions and Information Theory: This test helps recruiters in quantifying a candidate's ability of maximizing or minimizing a real function by choosing input values from an allowed set and computing the value of the function in data science.
  • Data Wrangling and Correction: This test helps recruiters understand a candidate’s skill of uniting complex data sets for easy analysis and checking whether data is correct or inaccurate.
  • Numerical Ability-Quantitative Aptitude: This test aids the recruiters in understanding candidates speed of the executing tasks related to handling of numbers.
  • Test Duration: 60 minutes
  • No. of Questions: 23
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    Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

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About Data Science Aptitude Test

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.   

Data science aptitude test helps to screen candidates possessing the following traits: 

  • Good knowledge of Classification and Regression Algorithms 

  • Relevant experience in Data Extraction and Mining 

  • Strong knowledge of vImbalanced Datasets & Sampling Distributions 

  • Good experience in Optimizing Functions and Information Theory 

  • Hands-on experience & knowledge in Data Wrangling and Correction 

  • In-depth understanding of Numerical Ability 

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.     

This Data Science Aptitude Test is useful for hiring

  • Data Science  Expert
  • Data Science  Engineer
  • Data Science Consultant