This test evaluates candidates' knowledge of exploratory data analysis, including data exploration, data classification, data interpretation, data visualization, statistical analysis, data modeling, and data mining. Candidates will be assessed on their ability to use statistical techniques to analyze data, visualize data, and build predictive models.
They will also be evaluated on their ability to interpret and communicate findings from exploratory data analysis.
Questions
20
Time
20 min
Level
intermediate
Used
4990
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74%
of employers admitted to making the mistake of hiring someone unsuitable for a job.
27%
of businesses reported incurring losses of over $75,000 due to incorrect hiring decisions.
50%
chance of a hiring manager making an incorrect hiring choice.
23%
of businesses reported a decrease in output due to an unsuitable hire.
<10%
of unstructured job interviews are effective at predicting the best candidates.
Why does it happen?
hiring is difficult due to reliance on subjective, inconsistent opinions.
Exploratory Data Analysis assessments are essential for job roles in data analysis, business intelligence, and data science. These skill tests are crucial for pre-employment screening to assess candidates' abilities to analyze and interpret complex data sets. At hirenest, our online platform offers a wide range of cost-effective aptitude tests, including Exploratory Data Analysis assessments. With our comprehensive examples, questions, and answers, HR managers and hiring companies can confidently evaluate candidates' proficiency in this critical area and make informed hiring decisions.