Why you should use Data Analytics in Excel Test?

The Dataanalyse i Excel -test 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: Demonstrere færdigheder i at bruge Excel -funktioner til dataanalyse Opret og formatdiagrammer og grafer i Excel for visuelt at repræsentere data Fortolke data for at identificere tendenser, mønstre og indsigt Anvend dataanalyse Fundamentals for at løse forretningsproblemer Brug avancerede Excel -funktioner til datamanipulation og rensning Demonstrere ekspertise i at oprette og dele rapporter i Excel Anvend datavisualiseringsteknikker til effektivt at kommunikere fund Udfør avancerede databeregninger ved hjælp af Excel -formler og funktioner Anvend statistiske analysemetoder til at fortolke data nøjagtigt Demonstrere færdigheder i at bruge pivotborde til dataanalyse

Data Analytics in Excel Test

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

Datatolkning Excel -funktioner Diagrammer og grafer i Excel Dataanalyse Fundamentals Oprettelse og deling af rapporter

About the test:

Dataanalyser i Excel -test evaluerer en kandidats evne til at bruge Excel til dataanalyse og fortolkning. Det dækker emner som datamanipulation, funktioner, formler, diagrammer og datavisualisering ved hjælp af Excel. Testen inkluderer også scenariebaserede multiple-choice-spørgsmål for at vurdere problemløsningsevner og kritisk tænkning i en forretningsmæssig sammenhæng.

Covered skills:

Datatolkning
Diagrammer og grafer i Excel
Oprettelse og deling af rapporter

Excel -funktioner
Dataanalyse Fundamentals

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9 reasons why

Adaface Data Analytics in Excel Assessment Test is the most accurate way to shortlist Dataanalytikers

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:

Analysere og fortolke komplekse datasæt effektivt
Anvend avancerede Excel -funktioner for at udføre dataanalyse
Opret visuelt tiltalende diagrammer og grafer for at præsentere data
Demonstrere færdigheder i grundlæggende dataanalyseteknikker
Generer nøjagtige og informative rapporter ved hjælp af Excel
Del effektivt og kommunikere fund fra dataanalyse
Brug Excel -formler og funktioner til at manipulere og transformere data
Anvend statistiske analysemetoder til at tegne meningsfulde indsigter
Udfør datarensning og forarbejdningsopgaver i Excel
Fortolke tendenser og mønstre i data til beslutningstagning

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

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Dataanalyse i Excel -test vil være ikke-gåbart.

🧐 Question
Medium MATCH INDEX LOOKUP	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Dataanalyse i Excel -test 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 Dataanalyse i Excel -test 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 Dataanalyse i Excel -test 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:

Demonstrere færdigheder i at bruge Excel -funktioner til dataanalyse
Opret og formatdiagrammer og grafer i Excel for visuelt at repræsentere data
Fortolke data for at identificere tendenser, mønstre og indsigt
Anvend dataanalyse Fundamentals for at løse forretningsproblemer
Brug avancerede Excel -funktioner til datamanipulation og rensning
Demonstrere ekspertise i at oprette og dele rapporter i Excel
Anvend datavisualiseringsteknikker til effektivt at kommunikere fund
Udfør avancerede databeregninger ved hjælp af Excel -formler og funktioner
Anvend statistiske analysemetoder til at fortolke data nøjagtigt
Demonstrere færdigheder i at bruge pivotborde til dataanalyse

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?

excel-funktioner:
Excel-funktioner henviser til et bredt interval af indbyggede formler, der gør det muligt for brugere at udføre komplekse beregninger, manipulere og transformere data. At forstå og vurdere denne færdighed er vigtig, da den viser en kandidats evne til effektivt at bruge Excel's funktionalitet til dataanalyse og problemløsning.
diagrammer og grafer i Excel:
Oprettelse af diagrammer og grafer I Excel hjælper det visuelt med at repræsentere data, hvilket gør det lettere at forstå og analysere mønstre, tendenser og forhold. Testning af denne færdighed sikrer, at kandidater har evnen til at præsentere data på en visuelt tiltalende og informativ måde.
Dataanalyse Fundamentals:
Dataanalyse Fundamentals omfatter forskellige teknikker og metoder, der er anvendt til at fortolke, og Tegn meningsfulde konklusioner fra data. Det er vigtigt at vurdere denne færdighed, da den demonstrerer en kandidats forståelse af kernedataanalyseteknikker, såsom opsummering, organisering og visualisering af data.
Oprettelse og deling af rapporter:
Oprettelse og deling af rapporter involverer at udarbejde data, generere meningsfuld indsigt og præsentere dem på en omfattende måde. Evaluering af denne færdighed er afgørende, da den viser en kandidats evne til at kommunikere fund effektivt og effektivt, hvilket muliggør informeret beslutningstagning baseret på datadrevet indsigt.
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 Dataanalyse i Excel -test to be based on.
Data validering
Betinget formatering
Pivot -borde
Vlookup -funktion
Hookup -funktion
Sumifs -funktion
Countifs -funktion
Formler og funktioner
Korttyper
Trendanalyse
Skiver
Datasortering
Datafiltrering
Power Query
Statistiske funktioner
Histogrammer
Histogramanalyse
Regressions analyse
Datavisualisering
Datasammendrag
Datatolkning
Scenarieanalyse
Datamanipulation
Dataformatering
Dataaggregering
Datamodellering
Datapræsentation
Datadeling
Rapportgenerering
Rapportformatering

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

Dataanalytiker
Business analytiker
Finansiel analytiker
Business Intelligence Analyst
Dataforsker
Dataingeniør
Dataarkitekt
Forretningskonsulent
Økonomisk konsulent
Markedsundersøgelsesanalytiker

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

Brug avancerede Excel -funktioner til automatisering og effektivitet
Brug effektivt Excel's datavalidering og betingede formateringsfunktioner
Anvend datafiltreringsteknikker til at udtrække relevant information
Demonstrere forståelse af data om rengøring og datatransformationsprocesser
Brug Excel's datamodelleringsfunktioner til at analysere komplekse datasæt
Demonstrere ekspertise i at bruge opslagsfunktioner til dataanalyse
Anvend statistiske funktioner i Excel for at udlede meningsfuld indsigt
Brug Excel's regressionsanalysefunktioner til datamodellering
Demonstrere færdigheder i at bruge Excel's What-hvis-analyseværktøjer
Anvend avancerede datavisualiseringsteknikker ved hjælp af Excel

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Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

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Data Analytics in Excel Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.