Why you should use Data Analytics in Excel Test?

The Análise de dados no teste do Excel makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Demonstrar proficiência no uso de funções do Excel para análise de dados Criar e formatar gráficos e gráficos no Excel para representar visualmente dados Interpretar dados para identificar tendências, padrões e insights Aplicar os fundamentos da análise de dados para resolver problemas de negócios Utilize recursos avançados do Excel para manipulação e limpeza de dados Demonstrar experiência em criar e compartilhar relatórios no Excel Empregue técnicas de visualização de dados para comunicar efetivamente as descobertas Execute cálculos de dados avançados usando fórmulas e funções do Excel Aplicar métodos de análise estatística para interpretar os dados com precisão Demonstrar proficiência no uso de tabelas dinâmicas para análise de dados

Data Analytics in Excel Test

Q: What topics are covered in the Data Analytics in Excel Test?

Interpretação de dados Funções do Excel Gráficos e gráficos no Excel Fundamentos da análise de dados Criando e compartilhando relatórios

About the test:

A análise de dados no Excel Test avalia a capacidade de um candidato de usar o Excel para análise e interpretação de dados. Ele abrange tópicos como manipulação de dados, funções, fórmulas, gráficos e visualização de dados usando o Excel. O teste também inclui perguntas de múltipla escolha baseadas em cenários para avaliar as habilidades de solução de problemas e o pensamento crítico em um contexto de negócios.

Covered skills:

Interpretação de dados
Gráficos e gráficos no Excel
Criando e compartilhando relatórios

Funções do Excel
Fundamentos da análise de dados

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9 reasons why

Adaface Data Analytics in Excel Assessment Test is the most accurate way to shortlist Analista de informaçõess

Reason #1

Tests for on-the-job skills

The Data Analytics in Excel Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Analisar e interpretar eficientemente conjuntos de dados complexos
Aplicar funções avançadas do Excel para executar a análise de dados
Crie gráficos e gráficos visualmente atraentes para apresentar dados
Demonstrar proficiência em técnicas fundamentais de análise de dados
Gerar relatórios precisos e informativos usando o Excel
Compartilhe e comunicar efetivamente as descobertas da análise de dados
Utilize fórmulas e funções do Excel para manipular e transformar dados
Aplicar métodos de análise estatística para desenhar insights significativos
Executar tarefas de limpeza e pré -processamento de dados no Excel
Interpretar tendências e padrões em dados para a tomada de decisão

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Estes são apenas uma pequena amostra da nossa biblioteca de mais de 10.000 perguntas. As perguntas reais sobre isso Análise de dados no teste do Excel será não-googleable.

🧐 Question
Medium MATCH INDEX LOOKUP	Try practice test
Some friends live in adjacent apartments in a building in Central Perk, New York. We want to write a function to search the apartment number by name. Which of the following functions should we use?
Medium Organization data Data transformation	Try practice test
We have two Excel files with organization data. One file has Organization ID and Organization Name fields, whereas the second file has Organization ID, Organization Name and Country fields. We wrote a query to retrieve the data from both files. Here’s a sample of the data retrieved: We want to ensure Organization ID field is unique. Which of the following is the ideal solution that ensures Organization ID field is unique while retaining Country data? A: Select the Organization ID and Country columns, and then click Keep Duplicates. B: Select the Organization ID and Country columns, and then click Remove Duplicates. C: Use Group BY function to group the rows by Organization ID. Specify output columns for Organization Name and Country using MAX operation. D: Select Organization ID column and then click Remove Duplicates. Then specify output columns for Country using MAX operation.
Medium Student scores Data formatting	Try practice test
Here’s a sample Excel data source: Here’s the expected data format: Which of the following is the correct way to transform the data from the query editor to achieve the result? A: Columns to Select: Student Only B: Columns to Select: Student and Student ID C: Columns to Select: Primary and Secondary D: Command to Use: Pivot Column E: Command to Use: Reverse Rows F: Command to Use: Unpivot Columns
Medium VLOOKUP blood donor	Try practice test
We are looking to find the contact number of the only blood donor with blood group O-. Which function should we use to look up the correct contact number? Here's the documentation for VLOOKUP: =VLOOKUP(lookup value, range containing the lookup value, the column number in the range containing the return value, Approximate match (TRUE) or Exact match (FALSE)). A: =VLOOKUP("O-", A1:E10, 3, TRUE) B: =VLOOKUP("O-", A1:E10, 3, FALSE) C: =VLOOKUP("O-", D1:D10, 4) D: =VLOOKUP("O-", D1:D10, 3) E: =VLOOKUP("O-", A1:E10, 4, TRUE) F: =VLOOKUP("O-", A1:E10, 4, FALSE) G: =VLOOKUP("Kane", A1:E10, 4)
Medium Hiring Developer Skewed Data Graph	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
Medium Negative correlation	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill
	Medium MATCH INDEX LOOKUP	2 mins Excel	Try practice test
Some friends live in adjacent apartments in a building in Central Perk, New York. We want to write a function to search the apartment number by name. Which of the following functions should we use?
	Medium Organization data Data transformation	3 mins Excel	Try practice test
We have two Excel files with organization data. One file has Organization ID and Organization Name fields, whereas the second file has Organization ID, Organization Name and Country fields. We wrote a query to retrieve the data from both files. Here’s a sample of the data retrieved: We want to ensure Organization ID field is unique. Which of the following is the ideal solution that ensures Organization ID field is unique while retaining Country data? A: Select the Organization ID and Country columns, and then click Keep Duplicates. B: Select the Organization ID and Country columns, and then click Remove Duplicates. C: Use Group BY function to group the rows by Organization ID. Specify output columns for Organization Name and Country using MAX operation. D: Select Organization ID column and then click Remove Duplicates. Then specify output columns for Country using MAX operation.
	Medium Student scores Data formatting	2 mins Excel	Try practice test
Here’s a sample Excel data source: Here’s the expected data format: Which of the following is the correct way to transform the data from the query editor to achieve the result? A: Columns to Select: Student Only B: Columns to Select: Student and Student ID C: Columns to Select: Primary and Secondary D: Command to Use: Pivot Column E: Command to Use: Reverse Rows F: Command to Use: Unpivot Columns
	Medium VLOOKUP blood donor	2 mins Excel	Try practice test
We are looking to find the contact number of the only blood donor with blood group O-. Which function should we use to look up the correct contact number? Here's the documentation for VLOOKUP: =VLOOKUP(lookup value, range containing the lookup value, the column number in the range containing the return value, Approximate match (TRUE) or Exact match (FALSE)). A: =VLOOKUP("O-", A1:E10, 3, TRUE) B: =VLOOKUP("O-", A1:E10, 3, FALSE) C: =VLOOKUP("O-", D1:D10, 4) D: =VLOOKUP("O-", D1:D10, 3) E: =VLOOKUP("O-", A1:E10, 4, TRUE) F: =VLOOKUP("O-", A1:E10, 4, FALSE) G: =VLOOKUP("Kane", A1:E10, 4)
	Medium Hiring Developer Skewed Data Graph	3 mins Data Analysis	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Medium Negative correlation	2 mins Data Analysis	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	MATCH INDEX LOOKUP	Excel	Medium	2 mins	Try practice test
Some friends live in adjacent apartments in a building in Central Perk, New York. We want to write a function to search the apartment number by name. Which of the following functions should we use?
	Organization data Data transformation	Excel	Medium	3 mins	Try practice test
We have two Excel files with organization data. One file has Organization ID and Organization Name fields, whereas the second file has Organization ID, Organization Name and Country fields. We wrote a query to retrieve the data from both files. Here’s a sample of the data retrieved: We want to ensure Organization ID field is unique. Which of the following is the ideal solution that ensures Organization ID field is unique while retaining Country data? A: Select the Organization ID and Country columns, and then click Keep Duplicates. B: Select the Organization ID and Country columns, and then click Remove Duplicates. C: Use Group BY function to group the rows by Organization ID. Specify output columns for Organization Name and Country using MAX operation. D: Select Organization ID column and then click Remove Duplicates. Then specify output columns for Country using MAX operation.
	Student scores Data formatting	Excel	Medium	2 mins	Try practice test
Here’s a sample Excel data source: Here’s the expected data format: Which of the following is the correct way to transform the data from the query editor to achieve the result? A: Columns to Select: Student Only B: Columns to Select: Student and Student ID C: Columns to Select: Primary and Secondary D: Command to Use: Pivot Column E: Command to Use: Reverse Rows F: Command to Use: Unpivot Columns
	VLOOKUP blood donor	Excel	Medium	2 mins	Try practice test
We are looking to find the contact number of the only blood donor with blood group O-. Which function should we use to look up the correct contact number? Here's the documentation for VLOOKUP: =VLOOKUP(lookup value, range containing the lookup value, the column number in the range containing the return value, Approximate match (TRUE) or Exact match (FALSE)). A: =VLOOKUP("O-", A1:E10, 3, TRUE) B: =VLOOKUP("O-", A1:E10, 3, FALSE) C: =VLOOKUP("O-", D1:D10, 4) D: =VLOOKUP("O-", D1:D10, 3) E: =VLOOKUP("O-", A1:E10, 4, TRUE) F: =VLOOKUP("O-", A1:E10, 4, FALSE) G: =VLOOKUP("Kane", A1:E10, 4)
	Hiring Developer Skewed Data Graph	Data Analysis	Medium	3 mins	Try practice test
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. Now select the statements that are true based on the given details. A: The data given for Company A is skewed to the left. B: The data given for Company B is skewed to the right. C: The data given for Company A is skewed to the right. D: For Company B, mean and mode are equal. E: For Company B, mean is equal to median but less than mode. F: For Company A, median is less than mode but greater than mean.
	Negative correlation	Data Analysis	Medium	2 mins	Try practice test
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study? A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level. B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.

Reason #4

1200+ customers in 75 countries

Com o Adaface, conseguimos otimizar nosso processo de seleção inicial em mais de 75%, liberando um tempo precioso tanto para os gerentes de contratação quanto para nossa equipe de aquisição de talentos!

Brandon Lee, Chefe de Pessoas, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Análise de dados no teste do Excel in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Análise de dados no teste do Excel from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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About the Data Analytics in Excel Online Test

Why you should use Pre-employment Data Analytics in Excel Test?

The Análise de dados no teste do Excel makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Demonstrar proficiência no uso de funções do Excel para análise de dados
Criar e formatar gráficos e gráficos no Excel para representar visualmente dados
Interpretar dados para identificar tendências, padrões e insights
Aplicar os fundamentos da análise de dados para resolver problemas de negócios
Utilize recursos avançados do Excel para manipulação e limpeza de dados
Demonstrar experiência em criar e compartilhar relatórios no Excel
Empregue técnicas de visualização de dados para comunicar efetivamente as descobertas
Execute cálculos de dados avançados usando fórmulas e funções do Excel
Aplicar métodos de análise estatística para interpretar os dados com precisão
Demonstrar proficiência no uso de tabelas dinâmicas para análise de dados

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Data Analytics in Excel Test?

gráficos e gráficos no Excel:
Criando gráficos e gráficos No Excel, ajuda a representar visualmente dados, facilitando a compreensão e análise de padrões, tendências e relacionamentos. O teste dessa habilidade garante que os candidatos possuam a capacidade de apresentar dados de maneira visualmente atraente e informativa. tirar conclusões significativas dos dados. Avaliar essa habilidade é importante, pois demonstra o entendimento de um candidato sobre as principais técnicas de análise de dados, como resumir, organizar e visualizar dados.
Criando e compartilhando relatórios:
Criando e compartilhando relatórios envolve a compilação de dados, a geração de insights significativos e apresentando -os de maneira abrangente. Avaliar essa habilidade é crucial, pois mostra a capacidade de um candidato de comunicar as descobertas de maneira eficaz e eficiente, permitindo a tomada de decisão informada com base em informações orientadas a dados.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Análise de dados no teste do Excel to be based on.
Data de validade
Formatação condicional
Tabelas de articulação
Função vlookup
Função hlookup
Função sumifs
Função de Countifs
Fórmulas e funções
Tipos de gráficos
Análise de tendências
Slicers
Classificação de dados
Filtragem de dados
Consulta de energia
Funções estatísticas
Histogramas
Análise do histograma
Análise de regressão
Visualização de dados
Resumo de dados
Interpretação de dados
Análise de cenário
Manipulação de dados
Formatação de dados
Agregação de dados
Modelagem de dados
Apresentação de dados
Compartilhamento de dados
Geração de relatório
Relatório Formating

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What roles can I use the Data Analytics in Excel Test for?

Analista de informações
Analista de negócios
Analista financeiro
Analista de inteligência de negócios
Cientista de dados
Engenheiro de dados
Arquiteto de dados
Consultor de negócios
Consultor financeiro
Analista de Pesquisa de Mercado

How is the Data Analytics in Excel Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Utilize recursos avançados do Excel para automação e eficiência
Use efetivamente os recursos de validação de dados e formatação condicional do Excel
Aplicar técnicas de filtragem de dados para extrair informações relevantes
Demonstrar entendimento da limpeza e processos de transformação de dados
Utilize os recursos de modelagem de dados do Excel para analisar conjuntos de dados complexos
Demonstrar experiência no uso de funções de pesquisa para análise de dados
Aplicar funções estatísticas no Excel para obter informações significativas
Utilize os recursos de análise de regressão do Excel para modelagem de dados
Demonstrar proficiência no uso de ferramentas de análise What-IF do Excel
Aplicar técnicas avançadas de visualização de dados usando o Excel

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Os gerentes de contratação sentiram que, por meio das perguntas técnicas feitas durante as entrevistas do painel, foram capazes de dizer quais candidatos tiveram melhores pontuações e diferenciaram aqueles que não tiveram pontuações tão boas. Eles são altamente satisfeito com a qualidade dos candidatos selecionados na triagem Adaface.

85%

Redução no tempo de triagem

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Data Analytics in Excel Hiring Test Perguntas frequentes

Posso combinar várias habilidades em uma avaliação personalizada?

Sim absolutamente. As avaliações personalizadas são configuradas com base na descrição do seu trabalho e incluirão perguntas sobre todas as habilidades obrigatórias que você especificar.

Você tem algum recurso anti-trapaça ou procurador?

Temos os seguintes recursos anti-trapaça:

Perguntas não-goleadas
IP Proctoring
Web Proctoring
Proctoring da webcam
Detecção de plágio
navegador seguro

Leia mais sobre os Recursos de Proctoring.

Como interpreto as pontuações dos testes?

O principal a ter em mente é que uma avaliação é uma ferramenta de eliminação, não uma ferramenta de seleção. Uma avaliação de habilidades é otimizada para ajudá -lo a eliminar os candidatos que não são tecnicamente qualificados para o papel, não é otimizado para ajudá -lo a encontrar o melhor candidato para o papel. Portanto, a maneira ideal de usar uma avaliação é decidir uma pontuação limite (normalmente 55%, ajudamos você a comparar) e convidar todos os candidatos que pontuam acima do limiar para as próximas rodadas da entrevista.

Para que nível de experiência posso usar este teste?

Cada avaliação do Adaface é personalizada para a descrição do seu trabalho/ persona do candidato ideal (nossos especialistas no assunto escolherão as perguntas certas para sua avaliação de nossa biblioteca de mais de 10000 perguntas). Esta avaliação pode ser personalizada para qualquer nível de experiência.

Todo candidato recebe as mesmas perguntas?

Sim, facilita muito a comparação de candidatos. As opções para perguntas do MCQ e a ordem das perguntas são randomizadas. Recursos anti-traking/proctoring no local. Em nosso plano corporativo, também temos a opção de criar várias versões da mesma avaliação com questões de níveis de dificuldade semelhantes.