Free Python Basics Test for Data Science (MCQs & Answers)

Free Python Basics Test for Data Science

The Free Python Basics Test for Data Science helps beginners understand essential programming concepts used in data analysis. This test covers variables, loops, functions, and data handling, making it ideal for new learners. Moreover, it supports students preparing for data science careers by strengthening core Python skills. The quiz includes simple questions so learners can practice effectively and gain confidence. Therefore, this free test becomes an excellent starting point for data science education.

Python Practice Test and Data Science Preparation

This section offers a Python practice test for beginners that includes coding tasks, conceptual questions, and real-use problems. Additionally, the test provides a Python quiz with answers, helping students verify their understanding quickly. Since many learners prefer guided revision, the platform also supports Python online test for certification free attempts. These evaluations strengthen logical thinking and coding confidence.

Python Quiz, Coding Tasks, and Score-Based Tests

The worksheet also includes a simple Python quiz code with score so students can track progress. Furthermore, the test covers Python for data science practice questions, giving learners real analytical challenges. Because data science requires strong foundations, the quiz includes essential data science test questions for hands-on understanding. There is also a Python code test online section, allowing students to practice writing actual code in a timed environment.

Free Python Basics Test for Data Science

MCQs with Answers and Detailed Solutions

Total Questions: 15


1. Which of the following is used to display output in Python?


2. What is the correct file extension for Python files?


3. What is the output of: type(3.0)?


4. Which of the following is used for single-line comments in Python?


5. Which data type is mutable in Python?


6. What will be the output of: len("Data")?


7. Which operator is used for exponentiation in Python?


8. Which of the following creates a dictionary?


9. Which of the following functions converts data to an integer?


10. What is the output of: 3 > 5?


11. What does the append() method do in a list?


12. Which keyword is used to define a function in Python?


13. What will be the output of: 5 // 2?


14. Which library is most commonly used for data analysis in Python?


15. What is the correct syntax to import numpy as np?

Quiz Results Summary

Total Questions: 15

Correct Answers: 0

Incorrect Answers: 0

Total Score: 0 / 30

Percentage Score: 0.00%

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