Data Science and SQL Online Test

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The Data Science and SQL test assesses a candidate’s ability to analyze data, extract information, suggest conclusions, and support decision-making. It also tests candidate’s knowledge of SQL queries and relational database concepts, such as indexes and constraints.

It's the ideal test for pre-employment screening. Data scientists and data analysts need to be able to extract knowledge and insights from data. Often, they also need a solid understanding of SQL to interface and access an SQL database efficiently.

This test requires candidates to demonstrate their ability to apply probability and statistics when solving data science problems, write programs using Python for the same purpose, write SQL queries that extract, combine, and manipulate data.

Recommended Job Roles
Data Analyst
Data Scientist
Sample Candidate Report

Sample Free Questions

Students

3min
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Easy 
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CODE

SQL Aggregation Select Public

Given the following data definition, write a query that returns the number of students whose first name is John. String comparisons should be case sensitive.

TABLE students
   id INTEGER PRIMARY KEY,
   firstName VARCHAR(30) NOT NULL,
   lastName VARCHAR(30) NOT NULL

Enrollment

5min
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Easy  
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CODE

SQL Conditions Update Public

A table containing the students enrolled in a yearly course has incorrect data in records with ids between 20 and 100 (inclusive).

TABLE enrollments
  id INTEGER NOT NULL PRIMARY KEY
  year INTEGER NOT NULL
  studentId INTEGER NOT NULL

Write a query that updates the field 'year' of every faulty record to 2015.

Pet Detection

5min
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Easy 
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NUM

Data Science Confusion matrix Machine learning Public New

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?

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SQL Delete Subqueries Conditions Views Update Data Science Linear regression Poisson distribution Probability Decision tree Binomial distribution p-value Curve Fitting Constraints Create table Database schema Select Create index Performance tuning Alter table Grouping Pandas Sorting Aggregation NumPy Ordering Classification k-nearest neighbors Machine learning Scikit-learn Insert Left join Bug fixing Data aggregation Indexes Union Group by Joins Data cleaning Processing CSV Cauchy distribution Exponential distribution Normal distribution SciPy Nonlinear regression SQL CASE CTE
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