DevSkiller Data Science online tests were formulated by our team of experts to help you test for junior, middle, and senior roles. Our Data Science online tests are perfect for both technical screening and online interviews.
DevSkiller Data Science online tests are powered by the RealLifeTesting™ methodology. This technology allows you to narrow down your search and hire the candidate with the right skill set by simulating real-world work scenarios.
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Python 3.X programming questions
avaliar o conhecimento de Python 3.x, Raciocínio lógico, Sequência, Competências transversais
Python | NumPy | Redes Convolucionais em Grafo - Implemente uma Rede Convolucional em Grafo simples.
avaliar o conhecimento de Python, Faísca
Python | PySpark | Modelo de preferência do cliente - Implementar uma aplicação de engenharia de dados para pré-processamento de dados de marketing.
avaliar o conhecimento de Python
Python | PySpark | ML Logs Transformer - Concluir a implementação do pipeline de transformação de registos.
avaliar o conhecimento de Scala
Scala | Spark | ML Logs Transformer - Completar a implementação do pipeline de transformação dos logs.
SQL | Catálogo de selos | Os três preços mais elevados - Selecionar três selos (preço e nome) com o preço mais elevado.
Python | Pandas | Analisador de tabela HTML - Implemente uma função para converter uma tabela HTML em um arquivo no formato CSV.
avaliar o conhecimento de Python
Python | Pandas | Analisador de tabela HTML - Implemente uma função para converter uma tabela HTML em um arquivo no formato CSV.
avaliar o conhecimento de Python
Python | Relatório de vendas de veículos - Implementar uma aplicação para criar relatórios com base no armazém de dados de vendas de veículos.
avaliar o conhecimento de Python
Python | Pandas | Uma empresa de entrega de comida - Transforme uma base de dados de encomendas reduzindo a sua dimensionalidade e criando uma tabela analítica adicional.
avaliar o conhecimento de Python
Python | Client Base Creator - Implementar a aplicação para recuperar os dados de contacto do cliente a partir das mensagens de chat.
avaliar o conhecimento de Aprendizagem automática, Python
Python | Analisador de DNA | Criar e limpar cadeias de DNA - Implemente 2 métodos em Python que criam e limpam cadeias de DNA.
avaliar o conhecimento de Aprendizagem automática
Python | Analisador de ADN - Implementa um método em Python que gera um relatório estatístico de ADN.
avaliação do conhecimento de *SQL
Python | NumPy | Processamento de dados de medição de aeronaves - Aplicação completa de processamento de dados que agrega e comprime fluxos de dados utilizando NumPy, Python e Análise de dados.
avaliar o conhecimento de SQL
Python | Analisador de ADN - Implementa um método em Python que gera um relatório estatístico de ADN.
avaliar o conhecimento de Python
Python | NumPy | Processamento de dados de medição de aeronaves - Aplicação completa de processamento de dados que agrega e comprime fluxos de dados utilizando NumPy, Python e Análise de dados.
avaliar o conhecimento de Aprendizagem automática, Python
Python | Analisador de DNA | Criar e limpar cadeias de DNA - Implemente 2 métodos em Python que criam e limpam cadeias de DNA.
avaliar o conhecimento de Python
Python | Analisador de ADN - Implementa um método em Python que gera um relatório estatístico de ADN.
Every DevSkiller Data Science online test is powered by the RealLifeTesting™ methodology. This in-house technology works by testing candidates with real-world working scenarios that they would likely encounter on their first day of work. What’s unique about this methodology is that it provides insight into the candidate’s practical coding skills, critical thinking, time management, instead of focusing on academic knowledge.
Data Science is used primarily to make both decisions and predictions by making use of predictive causal analytics, prescriptive analytics, and machine learning. A data scientist is responsible for exploratory data analysis, machine learning & advanced algorithms, and data product engineering.
First and foremost, data scientists need to be critical thinkers in order to objectively analyze the data before forming an opinion or rendering judgment. Data scientists candidates should also be proficient in coding and be comfortable handling varied programming tasks. Although a broad knowledge of programming languages is preferable, Data Science is moving towards Python while R is also prominent. Proficiency in both mathematics and statistics is vital for a career in Data Science. Finally, experience with machine learning, deep learning, and AI is favorable for a data scientist candidate to possess. With the speed at which industries are moving in these areas, a data scientist must stay in front of the curve in research, as well as understanding what technologies to apply and when.
Did you know that you can create your own custom tests using the DevSkiller online task wizard? That’s right, creating your own fully customizable tests is easy with DevSkiller. Choose your test duration, number of questions, difficulty, and even upload your own codebase. Finding your next data scientist is easy with DevSkiller and our Data Science coding interview questions.
We understand that making recruitment decisions for your company is not easy and should be considered before jumping straight in. If you’re still not sold on DevSkiller Data Science coding interview questions then hear what some of our satisfied customers have to say:
Veriday
Veriday is a customer engagement and financial services technology (fin-tech) company specializing in products and solutions that transform customer experiences. Veriday hires approximately 40 developers annually. Before implementing DevSkiller, Veriday’s hiring process was long, tedious, and costly. The biggest problem they faced was wasting time and resources interviewing unworthy candidates. These candidates only reached the interview stage because the screening process was not covering any technical skills.
After implementing DevSkiller, Veriday was able to reduce the manual intervention required to send and assess the technical test. They were also able to reduce their tech rejection by 25%. With DevSkiller, Veriday now interviews 30 developers (instead of 50) for every 10 hires they make.
"Reduzimos a rejeição técnica, o que é ótimo. Vimos uma melhoria de 25% neste ponto após a implementação do DevSkiller. A plataforma ajuda-nos realmente a avaliar as competências de programação dos candidatos e a fornecer uma abordagem lógica às competências de resolução de problemas dos profissionais de TI. O DevSkiller poupou-nos muito tempo enquanto tínhamos uma rampa de crescimento e ajudou-nos a convidar candidatos de boa qualidade que tiveram um bom desempenho no teste, o que acabou por melhorar os critérios de seleção".
Sabu Pappu – Talent Acquisition lead at Veriday
The RealLifeTestingTM methodology is the foundation of all DevSkiller online tests, including Data Science coding questions. 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 online 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.
The platform gets to work straight away after the candidate completes the tests evaluating the solution. Shortly after, the results are generated into a report that is easy to understand and share across teams and departments. Candidates are evaluated on whether the solution would run (an essential factor in all software development), whether there are any errors in the code, the quality of the code, and how it works in edge cases. There are also robust plagiarism features that show you how similar the results are to previous solutions.
You can send your first Data Science online test in as little as 5 minutes. DevSkiller’s extensive library of predefined online tests means that you can start testing your candidates right when you set up your account, no other work required.
