General and Python Data Science Online Test
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The Data Science online test assesses a candidate’s ability to analyze data, extract information, suggest conclusions, and support decision-making, as well as their ability to take advantage of Python and its data science libraries such as NumPy, Pandas, or SciPy.
It's the ideal test for pre-employment screening. Data scientists and data analysts who use Python for their tasks should be able to leverage the functionality provided by Python data science libraries to extract and analyze 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.
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Free Sample Questions for General and Python Data Science Test
Our sample questions are free for companies to use on a trial plan. See more about our premium questions for paid plans below.
Pet Detection
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?
Login Table
A company stores login data and password hashes in two different containers:
- DataFrame with columns: Id, Login, Verified.
- Two-dimensional NumPy array where each element is an array that contains: Id and Password.
Elements on the same row/index have the same Id.
Implement the function login_table that accepts these two containers and modifies id_name_verified DataFrame in-place, so that:
- The Verified column should be removed.
- The password from NumPy array should be added as the last column with the name "Password" to DataFrame.
For example, the following code snippet:
id_name_verified = pd.DataFrame([[1, "JohnDoe", True], [2, "AnnFranklin", False]], columns=["Id", "Login", "Verified"])
id_password = np.array([[1, 987340123], [2, 187031122]], np.int32)
login_table(id_name_verified, id_password)
print(id_name_verified)Should print:
Id Login Password 0 1 JohnDoe 987340123 1 2 AnnFranklin 187031122
Petri Dish
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%:
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Premium Questions for General and Python Data Science Test
TestDome offers a premium questions library with 1000+ unique, hand-crafted questions whose answers can’t be found online. If you spot an answer somewhere online, we’ll give you a refund.
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Class Grades, Age and Earnings, Distribution Fitting, Median Height, Birthday Cards, Billiard Club Occupancy, Cheating Indicator, Patient Classification, Subscribers, Wine Quality, Distribution of Answers, Hiring Process, CTR, Bank Loan, Cubic Approximation, Clean CSV, Rain, Credit Wizard, Bacterial Growth, Credit Score, Free ThrowsCovered Skills
Testing of these skills is covered in this pre-built test because they’re closely related. On our paid plan, you can easily create your own custom multi-skill tests.
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