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Python Data Science Coding Test for hiring the candidate with the right skill set

This Python Data Science Coding Test is for hiring managers and recruiters to evaluate a candidate's knowledge and skills in Python for data analysis. Using this Python Coding Test for the Data Science domain has helped many enterprises assess and hire the right-fit candidates per industry standards.

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Inside this Python Data Science Coding Test

The Python Data Science Test is an ideal pre-employment assessment tool that employers use for conducting technical screening and online coding interviews. These technical assessments are purposefully designed to enable hiring managers to find the most versatile data scientists with excellent Python skills. This test, created and validated by subject matter experts, includes questions based on real-world working scenarios that dig deeper than academic or theoretical questions.

Whether looking to identify the most accomplished tech professionals without exerting significant effort or reducing cost per hire and time-to-hire without sacrificing quality, the Python Data Science Coding Test should be an essential screening tool in every employer's toolkit. This test evaluates candidates’ expertise in the following areas: fundamentals of data science, data visualization skills, and hands-on Python programming with data science.


Data science is the method of using tools and techniques to gather meaningful insights from unprocessed data. It leverages the power of machine learning, prescriptive analytics, and predictive causal analytics for prediction and decision-making. A data scientist is an analytical data specialist who knows how to conduct exploratory data analysis (EDA) and is well-versed in machine learning and advanced algorithms.

Data scientists are expected to be critical thinkers who make an objective analysis of any piece of data before presenting their findings or arriving at an informed conclusion. Data scientist aspirants must also be proficient in coding and managing complex and varied programming assignments. While it is excellent to have extensive programming knowledge in this field, Python is still the most popular and preferred programming language in the area of data science.

Python is a general-purpose, open source, and interpreted language that allows data scientists and developers to collaborate much more quickly through its simple, easy-to-learn syntax. For the daily tasks that these professionals tackle, Python is the language of choice and one of the most sought-after data science tools used across industries. The increasing popularity of data science seems inevitable, given how data has become a pressing priority for organizations across the globe. Similarly, companies shell out inordinate sums, focusing on building the right teams of data scientists who can help their organizations grow.

However, finding the most versatile data scientists is as tricky as finding needles in a haystack. The reason is that determining someone's employment suitability based on their education, experience, or resume will not yield enough substantial insights. That is where recruiters and hiring managers find the Python Coding Test for data science profiles immensely helpful. This technical test is an integral part of the hiring process to determine if a person is a right fit for a given job based on their test performance. 

The Python Data Science Coding Test helps employers to gain insights into a potential candidate's competencies, knowledge, and skills objectively. The test includes multiple choice questions (MCQ) and a hands-on coding challenge to screen and select the best of the lot before an interview.


This Python Data Science Test is a part of following Skills Libraries

Python Data Science Coding Test competency framework

Get a detailed look inside the test

Python Test for Data Science Competencies Under Scanner

Python Data Science Test


Data Visualization

This Python Data Science Test will help you evaluate candidates' data visualization skills with objective results. The following subskills are covered in this section: Data mining, data handling and visualization, and data modeling.

Data science concepts

Use this online Python Test for data science roles. The nine critical sub-skills included in this section are clustering algorithms, regression and its types, types of learning, dimension reduction, algorithms, model evaluation and validation, pre-processing and EDA, predictive analytics and segmentation using clustering, and exploratory data analysis.

Hands-on programming

This Python Data Science Coding Test will help you assess a developer's coding skills before hiring. It includes a coding test to assess Python coding skills for data science.

Customize This Python Data Science Test

Flexible customization options to suit your needs

Set difficulty level of test

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

Combine multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

Add your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.

Request a tailor-made test

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

The Mercer | Mettl Python Data Science Test Advantage

The Mercer | Mettl Edge

  • Industry Leading 24/7 Support
  • State of the art examination platform
  • Inbuilt Cutting Edge AI-Driven Proctoring
  • Simulators designed by developers
  • Tests Tailored to Your business needs
  • Support for 20+ Languages in 80+ Countries Globally

Python Data Science Test Can Be Setup in 4 Steps

Step 1: Add test

Add this test your tests

Step 2: Share link

Share test link from your tests

Step 3: Test View

Candidate take the test

Step 4: Insightful Report

You get their tests report

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Frequently Asked Questions (FAQs)

The Mercer | Mettl Python Data Science Online Test is tailored for recruitment. However, we can do benchmarking for custom sample sets as well. Please write to us about your request; we will be glad to assist you.

We have previously customized test reports based on the client’s requirements. So please write to us with your request, and we will be glad to provide you with a solution.

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