Data Analytics Job Listing Interview MCQs 7

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This Data Analytics Job Listing Interview MCQs quiz helps students, researchers, and aspiring data analysts navigate job listings, interview preparation, and role expectations. Covering key topics like red flags in Data Analytics job postings, interview techniques (STAR method, mock interviews), common requirements (programming languages, certifications), and domain-specific knowledge (e-commerce, healthcare, finance), this quiz is a practical guide to landing a data analytics job. Ideal for entry-level candidates and professionals advancing to senior roles! Let us start with the “Data Analytics Job Listing Interview MCQs now.

Online Data Analytics Job Listing Interview MCQs with Answers

Online Data Analytics Job Listing Interview MCQs with Answers

1. Which domain knowledge is useful for a Data Analyst in the e-commerce industry?

 
 
 
 

2. What are three common types of second-round interviews?

 
 
 
 

3. Which skill is particularly valuable for a Financial Data Analyst?

 
 
 
 

4. Which task is typically NOT part of a Data Analyst’s job?

 
 
 
 

5. In the STAR method for answering interview questions, STAR stands for:

 
 
 
 

6. What is a “red flag” that might indicate thinking twice about responding to a job listing?

 
 
 
 

7. What is the most common educational requirement for a Data Analyst role?

 
 
 
 

8. Which certification is often listed as a plus for Data Analysts?

 
 
 
 

9. Which two statements are true about qualifications in job listings?

 
 
 
 

10. Why might a company ask you to sign a non-disclosure agreement (NDA) before working on a coding challenge?

 
 
 
 

11. What is a good way to prepare for first interviews?

 
 
 
 

12. Which of the following is an appropriate question to ask at a final interview?

 
 
 
 

13. What type of data would a Healthcare Data Analyst most likely work with?

 
 
 
 

14. What is true about rehearsing for interviews?

 
 
 
 

15. Coding challenges vary in scope and complexity depending on —————–.

 
 
 
 

16. How many years of experience do most entry-level Data Analyst jobs require?

 
 
 
 

17. What programming language is most frequently listed in Data Analyst job postings?

 
 
 
 

18. What is the primary responsibility of a Data Analyst?

 
 
 
 

19. What is a common job title for a senior-level Data Analyst?

 
 
 
 

20. What is a mock interview?

 
 
 
 

Online Data Analytics Job Listing Interview MCQs with Answers

  • What is a “red flag” that might indicate thinking twice about responding to a job listing?
  • Which two statements are true about qualifications in job listings?
  • What is true about rehearsing for interviews?
  • What is a mock interview?
  • What is a good way to prepare for first interviews?
  • What are three common types of second-round interviews?
  • Coding challenges vary in scope and complexity depending on —————–.
  • Why might a company ask you to sign a non-disclosure agreement (NDA) before working on a coding challenge?
  • Which of the following is an appropriate question to ask at a final interview?
  • In the STAR method for answering interview questions, STAR stands for:
  • What is the primary responsibility of a Data Analyst?
  • Which task is typically NOT part of a Data Analyst’s job?
  • What programming language is most frequently listed in Data Analyst job postings?
  • What is the most common educational requirement for a Data Analyst role?
  • Which certification is often listed as a plus for Data Analysts?
  • How many years of experience do most entry-level Data Analyst jobs require?
  • Which domain knowledge is useful for a Data Analyst in the e-commerce industry?
  • What type of data would a Healthcare Data Analyst most likely work with?
  • Which skill is particularly valuable for a Financial Data Analyst?
  • What is a common job title for a senior-level Data Analyst?

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MS Excel Pivot Table Quiz 18

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Test your Excel Pivot Table skills with this 20-question MCQ quiz! This MS Excel Pivot Table Quiz is perfect for students, statisticians, data analysts, and data scientists preparing for exams or job interviews. Master Excel Pivot Table concepts like grouping, filtering, calculations, and custom lists to boost your data analysis efficiency. Excel Pivot Table Quiz, PivotTable MCQ, data analysis test, Excel interview questions, PivotTable exam prep. Let us start MS Excel Pivot Table Quiz now.

Please go to MS Excel Pivot Table Quiz 18 to view the test

Online MS Excel Pivot Table Quiz with Answers

  • Before you create a PivotTable, you need to ensure that you have nice clean data with
  • Converting your data into a Table before creating a PivotTable is a good idea because:
  • When in PivotTable Fields, if you tick a field that contains numeric data, it will automatically populate which quadrant?
  • When in PivotTable Fields, if you tick a field that contains non-numeric data, it will automatically populate which quadrant?
  • To change the calculation within your PivotTable, you get more options by right-clicking one of the values, compared to customizing the calculation in the Values quadrant.
  • Rather than seeing discrete values, if you want to see percentages instead, you should go to
  • Choosing the option Rank Smallest to Largest will result in the PivotTable being sorted and displayed from smallest to largest values.
  • When does Excel automatically give you sub-totals for your PivotTable?
  • You can choose to display a sub-total as a sum and as an average, and both these items will appear separately at the bottom of the respective section in your PivotTable.
  • If you have full dates and you create a PivotTable, Excel will group these dates, such as grouping by month. You can remove this by choosing Ungroup.
  • Which of the following buttons would we need to click to group the dates below?
  • Which of the following buttons would we need to click to group a few rows from our PivotTable?
  • What would moving the Europe cell to elsewhere in the PivotTable do?
  • Which of these are correct statements about custom lists in Excel?
  • One way to filter which columns and which rows appear in your PivotTable is to use the drop-down menu that appears next to Row Labels and Column Labels.
  • To clear a filter in a PivotTable, you could:
  • The main difference between Label Filters and Value Filters is that Label Filters are for filtering based on text.
  • If you want to filter by a field that you do not necessarily want to show in the PivotTable itself, you should move this field to which quadrant?
  • If you choose Show Report Filter Pages after having selected multiple items in a filter, what would happen?
  • A PivotTable currently occupies some of Columns A and B as per the screenshot. The formula that is displayed is typed into cell D4. What would happen to the result of the formula if the filters of the PivotTable were modified?
Online MS Excel Pivot Table Quiz 4

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Data Preparation Quiz 24

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Test your knowledge with this Data Preparation Quiz featuring 20 MCQs designed for researchers, statisticians, data analysts, and data scientists. Covering key concepts like data understanding, feature engineering, outlier detection, and best practices in data preparation, this Data Preparation Quiz helps assess your expertise in preparing datasets for analysis. Whether you are refining data for machine learning or ensuring accuracy in statistical models, these questions will challenge your understanding of this critical phase in the data science methodology. Perfect for professionals and students looking to sharpen their data preparation skills!

Online Data Preparation Quiz with answers
Please go to Data Preparation Quiz 24 to view the test

Online Data Preparation Quiz with Answers

  • The Data Preparation stage is the least time-consuming phase of a data science project, typically taking between 5 and 10 percent of the overall project time.
  • In the case study, during the Data Understanding stage, data scientists discovered that not all the expected congestive heart failure admissions were being captured. What action did they take to resolve the issue?
  • In the case study, while working through the Data Preparation stage, data scientists learned that the initial definition did not capture all expected congestive heart failure admissions.
  • Select the correct statement about the Data Preparation stage of the data science methodology.
  • What is the primary role of the data understanding phase in the data science methodology?
  • How does the Data Preparation stage affect the next steps in a data science project?
  • Why is the Data Preparation stage considered time-consuming for a data science project?
  • What is the purpose of feature engineering during the Data Preparation stage?
  • How does automating data collection and preparation processes affect the overall project time?
  • Which method is used to detect outliers by calculating the range between the 25th and 75th percentiles?
  • What is the best practice for handling extreme outliers in a dataset when analyzing average compensation?
  • What is the definition of data preparation?
  • When data is arranged, the middle value in a set of observations is classified as
  • A branch of statistics in which data is collected according to an ordinal scale or a nominal scale is classified as
  • Data measurement, which arises from a specific measuring process, is classified as
  • Types of structured questions do not include
  • Reports published by the International Labor Organization and the International Monetary Fund are considered
  • Which of the following has the same units as the units of the original data?
  • If the range and maximum value of a dataset are 30 and 20, respectively, then the minimum value of the dataset is
  • Advertising expenditure is an example of

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