Data Science Test

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The Data Science test assesses a candidate’s ability to analyze data, extract information, suggest conclusions, and support decision-making.

It's the ideal test for pre-employment screening. Data scientists, data analysts, and statisticians need to be able to extract knowledge and insights from data.

This test requires candidates to demonstrate their ability to apply probability and statistics when solving data science problems and to write programs using Python for the same purpose.

Recommended Job Roles
Data Analyst
Data Scientist
Statistician
Sample Candidate Report

Sample Free Questions

Pet Detection

5min
  -  
Easy  
  -  
NUM

Data Science Confusion matrix Machine learning Public

A classifier that predicts if an image contains only a cat, a dog, or a llama produced the following confusion matrix:

  True values    
Dog Cat Llama
Predicted values     Dog 14 2 1
Cat 2 12 3
Llama 5 2 19

What is the accuracy of the model, in percentages?

Petri Dish

5min
  -  
Easy  
  -  
MMCQ

Data Science Correlation Public New

Two bacteria cultures, A and B, were set up in two different dishes, each covering 50% of its dish. Over 20 days, bacteria A's percentage of coverage increased to 70% and bacteria B's percentage of coverage reduced to 40%:

Petri Dish

AB Test

7min
  -  
Easy  
  -  
NUM

Data Science Bayes' theorem Probability Public New

Your company is running a test that is designed to compare two different versions of the company’s website.

Version A of the website is shown to 60% of users, while version B of the website is shown to the remaining 40%. The test shows that 8% of users who are presented with version A sign up for the company’s services, as compared to 4% of users who are presented with version B.

If a user signs up for the company’s services, what is the probability that she/he was presented with version A of the website?

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Premium Questions

The premium question library contains our unique, hand-crafted questions. We offer a refund if you find any of them answered online.

Questions
Subscribers, Credit Wizard, CTR, Bacterial Growth, Birthday Cards, Class Grades, Credit Score, Free Throws, Clean CSV, Distribution Fitting, Cubic Approximation, Age and Earnings, Median Height
Skills
Data Science Poisson distribution Probability Decision tree Binomial distribution p-value Curve Fitting Grouping Pandas Sorting NumPy Classification k-nearest neighbors Machine learning Scikit-learn Data aggregation Data cleaning Processing CSV Cauchy distribution Exponential distribution Normal distribution SciPy Nonlinear regression Linear regression
Score Distribution
# of candidates
0-33%
34-66%
67-100%
Score
Pricing For Premium Questions