Data Analysis with Python online tests

DevSkiller Data Analysis with Python online tests were prepared by our professional team. Our range of online coding tests are purposefully designed to ensure that you fight the right candidate. We have Data Analysis with Python tests available for a variety of positions.

DevSkiller online tests are powered by our proprietary RealLifeTesting™ methodology. The methodology works by emulating real-world tasks that your candidates are likely to encounter on their first day of the job. Finding your next data analyst with Python skills has never been easier with the DevSkiller platform and our online coding tests.

Python
MÉDIO
Competências testadas
Duração
120 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Python

Tarefa de programação - Nível: Médio

Python | Relatório de vendas de veículos - Implemente uma aplicação para criar relatórios com base no armazém de dados de vendas de veículos.

Python
MÉDIO
Competências testadas
Duração
70 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Aprendizagem de Máquina, Python

Tarefa de programação - Nível: Médio

Python | Analisador de ADN | Criar e limpar fios de ADN - Implementar 2 métodos em Python que criam e limpam fios de ADN.

Python
JUNIOR
Competências testadas
Duração
49 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Aprendizagem de Máquina

Tarefa de programação - Nível: Fácil

Python | DNA Analyzer - Implemente um método em Python que gera relatório estatístico de DNA.

NumPy
MÉDIO
Competências testadas
Duração
80 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliando o conhecimento de *SQL

Tarefa de programação - Nível: Médio

Python | NumPy | Processamento de dados de medição de aeronaves - Aplicação completa de processamento de dados que agrega e comprime fluxos de dados usando NumPy, Python e Análise de Dados.

Python
JUNIOR
Competências testadas
Duração
54 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de SQL

Tarefa de programação - Nível: Fácil

Python | DNA Analyzer - Implemente um método em Python que gera relatório estatístico de DNA.

Python
MÉDIO
Competências testadas
Duração
70 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Python

Tarefa de programação - Nível: Médio

Python | NumPy | Processamento de dados de medição de aeronaves - Aplicação completa de processamento de dados que agrega e comprime fluxos de dados usando NumPy, Python e Análise de Dados.

Python
MÉDIO
Competências testadas
Duração
80 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Aprendizagem de Máquina, Python

Tarefa de programação - Nível: Médio

Python | Analisador de ADN | Criar e limpar fios de ADN - Implementar 2 métodos em Python que criam e limpam fios de ADN.

Python
JUNIOR
Competências testadas
Duração
69 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Python

Tarefa de programação - Nível: Fácil

Python | DNA Analyzer - Implemente um método em Python que gera relatório estatístico de DNA.

Python
MÉDIO
Competências testadas
Duração
80 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Aprendizagem de Máquina, Python

Tarefa de programação - Nível: Médio

Python Data Extraction, Processing - Complete e atualize o código para o programa que extrai arquivos PDF e os converte para um formato específico para exibição/saída.

Python
JUNIOR
Competências testadas
Duração
66 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Python

Tarefa de programação - Nível: Fácil

Python | Student Details Application - Complete as peças que faltam e atualize o código sempre que necessário para que todos os testes unitários sejam aprovados.

Python
MÉDIO
Competências testadas
Duração
44 minutos, no máximo.
Avaliação
Automático
Visão geral dos testes

Perguntas de escolha

avaliação do conhecimento de Python

Tarefa de programação - Nível: Médio

Python | Django| Web Scraper com Análise de Frequência - Conserte o código e construa recursos para fazer todos os testes unitários passarem para uma aplicação de Word Scraping.

Recommended roles for our Data Analysis with Python online tests

  • Desenvolvedor Junior Python
  • desenvolvedor Middle Python
  • Senior Python developer
  • Data scientist
  • Software engineer
  • Junior data analyst
  • Middle data analyst 
  • Senior data analyst

How your Data Analysis with Python online tests work

All DevSkiller online coding tests are powered by the RealLifeTesting™ methodology which digs deeper than academic knowledge. This methodology is unlike any technical screening tool available because the candidate is tasked with real-world work in the test. Gain a clear understanding of your candidate’s knowledge, coding skills, critical thinking, and time-management.

Características principais 

  • Test candidate’ coding ability, not just their academic knowledge
  • Observe in real-time as the candidate undertakes the test
  • RealLifeTesting™ methodology offers a greater user experience where candidates can use their own IDE, clone to Git, run unit tests, and access Stack Overflow/GitHub/Google for research
  • A stringent anti-plagiarism tool that compares answers to every answer every submitted in the system and is supported by advanced location identification.
  • Clear and concise automated results that non-technical recruiters can understand
  • Data Analysis with Python online tests for all levels of seniority

Skills covered in our Data Analysis with Python tests

  • Data analysis with python
  • Data science
  • Python
  • SQL
  • SQLite
  • Aprendizagem de Máquina
  • Python 3.x
  • Django
  • Web scraping

What to look for in Data Analysts

Data analysis is the process of cleaning, transforming, and modeling data to uncover important information to steer business decision making. It provides valuable insights that aid business growth and development. Python is one of the most popular programming languages in the world today. First released in 1991, it grew in popularity due to its simplicity and power. 

When verifying your Data analyst’s Python skills, it’s important to determine what (if any) commercial experience they have with the programming language. Additionally, it’s vital you garner an understanding of your candidate’s knowledge of the different Python libraries and why they are so important. Finally, uncovering your candidate’s knowledge of Python frameworks such as Django, Flask, Bottle, Tornado, or web2py, is essential in determining their suitability to the job role.    

Looking for something else?

Like the look of our Data Analysis with Python online tests but need something more? We’ve got you covered! With our online task wizard, you can create custom tests using your own codebase. These tests are fully customizable. You can choose the test length and scope, difficulty, and the types of questions i.e. academic questions, code gaps, etc. Finding your next Data Analyst with Python skills has never been easier with DevSkiller. 

Want proof our Data Analysis with Python tests actually work?

Making the decision on introducing a new tool to your company’s process is a big decision that shouldn’t be taken lightly. Listening to us is one thing, but if you really want to find out how our Data Analysis with Python tests work, then just listen to one of our satisfied customers:

Criteo:

Criteo is a global leader in commerce marketing. Their advertising solutions allow B2B companies to build personalized ad campaigns that target the right leads across retail, travel, financial services, automotive, and education. 

Every year Criteo has approximately 100 technical hires. Given the scale of their recruitment needs, Criteo needed a highly effective solution that can keep up with their rate of hire. They also required a standardized technical skills assessment process that can be used across their teams in 15 locations. 

Before implementing DevSkiller, Criteo used to send their technical candidates (excluding R&D), a case study to complete at home. This task was used first before conducting an interview with the team. Criteo faced many challenges including the impossibility of tracking the completion of the case study, limited insights into the validity of the results, but most importantly a delay in the hiring process due to wasted time and unnecessary interviews.

The solution? Implementing DevSkiller.

“We use DevSkiller in 15 locations around our 3 regions (US/APAC/ EMEA). We have 7 frequent users in TA (recruiters) across our regions and our technical hiring manager users rotate depending on current needs. More than 30 have logged into the platform once to review an assignment or create a test.” Julien Gauthiez – Talent Acquisition Manager EMEA at Criteo

Perguntas mais frequentes

O que é RealLifeTestingTM?

The RealLifeTestingTM methodology is the foundation of all DevSkiller Data Analysis with Python online tests. It goes beyond games and algorithm puzzles to provide a 360-degree view of a developer’s skills. At its core, The RealLifeTestingTM stems from the belief that the best way to evaluate a developer’s development skills is with a work sample test that mirrors the actual development work they’ll do. 

Our Data Analysis with Python tests require candidates to build full project apps or add features to existing apps, just like they’ll be doing after being hired. To do this they will need to show their knowledge of coding, in stack resources, resources like Stack Overflow to find solutions and decision making to find the best way to solve the problems they encounter. The results you see show the candidate’s coding skill, decision making, code cleanliness, and problem-solving skills.

How do candidates take a Data Analysis with Python test?

Devskiller’s Data Analysis with Python online tests can be taken from anywhere in the world. All the recruiter has to do is send the candidate a test invite. These invites can be set to be available for a specific amount of time. The candidates can then start the test whenever they want to for wherever they want to.  has the option of using our state of the art in-browser IDE or completing the project on their favorite IDE and then cloning the project to GIT. Throughout the test, candidates can run unit tests to make sure their solutions work the way they are supposed to. The test lasts for a set amount of time. At the end of the time limit, the test is automatically evaluated and the report is sent to the recruiter.