Data Analytics

Data Analytics, the process of collecting, analyzing, and interpreting data to find patterns, trends, and correlations

Data Analytics MCQs Questions 4

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The Quiz is about Data Analytics MCQs Questions with Answers. There are 20 multiple-choice type questions related to “The Data Ecosystem and Languages for Data Professionals” covering the Languages related to the work of data professionals such as query languages, programming languages, and shell scripting. Let us start with the Data Analytics MCQS Questions Quiz now.

Online Data Analytics MCQs Questions with Answers

1. Job roles such as Project Managers, Marketing Managers, and HR Managers, can achieve greater effectiveness and efficiency in their current roles by acquiring data analysis skills, and are therefore, known as analytics-enabled job roles.

 
 

2. Which of the following are types of math commonly found in data analytics?

 
 
 
 
 

3. You are starting your career as a junior or an Associate Data Analyst and working your way up to a Principal Analyst role. What are some of the factors that influence your growth as a data analyst?

 
 
 
 

4. When completing an online application, the user is asked about their race. Which of the following is best described for this type of data?

 
 
 
 

5. Only holders of a Math Ph.D may work in data analytics and science.

 
 

6. Which of the following are essential for getting started and growing as a Data Analyst?

 
 
 
 

7. Skills such as problem-solving, communication, and storytelling are critical to the role of a Data Analyst. Like most soft skills, you are either good at them, or you are not; these skills cannot be acquired over time.

 
 

8. Data analysis plays an important role in which of the following scenarios?

 
 
 
 

9. What is data analytics? Please select the most appropriate option.

 
 
 
 

10. What is data called that does not fit within the context of the use case?

 
 
 
 

11. You can use dashboards to present operational data such as (i) daily progress data, (ii) analytical data, and (iii) the overall health of a business function.

 
 

12. What are some of the steps in the process of “Identifying Data”?

 
 
 
 

13. Many advanced analytic algorithms that are consistently identified as “winners” do this?

 
 
 

14. Which of the following is the most common tool used for data analytics?

 
 

15. What tool allows you to discover, cleanse, and transform data with built-in operations?

 
 
 
 

16. A Principal Data Analyst is responsible for

 
 
 
 

17. What Data Analysis roles may be best suited for people with little or no technical training?

 
 
 
 

18. In a dataset, a ————– is also referred to as a variable, feature, or attribute.

 
 
 
 

19. Which of the following statements describes Data Analyst Specialist Roles?

 
 
 
 

20. What is the best way to learn math for data analytics?

 
 
 
 

Question 1 of 20

Data Analytics MCQs Questions Quiz with Answers

Data Analytics MCQs Questions with Answers

  • What are some of the steps in the process of “Identifying Data”?
  • What tool allows you to discover, cleanse, and transform data with built-in operations?
  • You are starting your career as a junior or an Associate Data Analyst and working your way up to a Principal Analyst role. What are some of the factors that influence your growth as a data analyst?
  • Skills such as problem-solving, communication, and storytelling are critical to the role of a Data Analyst. Like most soft skills, you are either good at them, or you are not; these skills cannot be acquired over time.
  • Which of the following statements describes Data Analyst Specialist Roles?
  • A Principal Data Analyst is responsible for
  • Which of the following are essential for getting started and growing as a Data Analyst?
  • What Data Analysis roles may be best suited for people with little or no technical training?
  • What is data analytics? Please select the most appropriate option.
  • Which of the following is the most common tool used for data analytics?
  • Which of the following are types of math commonly found in data analytics?
  • Only holders of a Math Ph.D may work in data analytics and science.
  • What is the best way to learn math for data analytics?
  • Data analysis plays an important role in which of the following scenarios?
  • What is data called that does not fit within the context of the use case?
  • You can use dashboards to present operational data such as (i) daily progress data, (ii) analytical data, and (iii) the overall health of a business function.
  • Job roles such as Project Managers, Marketing Managers, and HR Managers, can achieve greater effectiveness and efficiency in their current roles by acquiring data analysis skills, and are therefore, known as analytics-enabled job roles.
  • Many advanced analytic algorithms that are consistently identified as “winners” do this?
  • When completing an online application, the user is asked about their race. Which of the following is best described for this type of data?
  • In a dataset, a ————– is also referred to as a variable, feature, or attribute.

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MCQs Data Analytics Questions 3

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The Quiz is about Data Analytics Questions with Answers. There are 20 multiple-choice type questions related to “The Data Ecosystem and Languages for Data Professionals” covering the Languages related to the work of data professionals such as query languages, programming languages, and shell scripting. Let us start with the MCQs Data Analytics Questions Quiz now.

Please go to MCQs Data Analytics Questions 3 to view the test

MCQs Data Analytics Questions with Answers

Online MCQs Data Analytics Questions with Answers

  • Which of the following languages is one of the most popular querying languages today?
  • Which NoSQL database type stores each record and its associated data within a single document and also works well with Analytics platforms?
  • What type of data repository is used to isolate a subset of data for a particular business function, purpose, or community of users?
  • In use cases for RDBMS, what is one of the reasons that relational databases are so well suited for OLTP applications?
  • Structured Query Language, or SQL, is the standard querying language for what type of data repository?
  • In the data analyst’s ecosystem, languages are classified by type. What are shell and scripting languages most commonly used for?
  • Which of the following is an example of unstructured data?
  • Which of the data repositories serves as a pool of raw data and stores large amounts of structured, semi-structured, and unstructured data in their native formats?
  • SQL (Structured Query Language) was developed to work with relational database management systems (RDBMS).
  • What institute adopted SQL as a standard?
  • Which of the following is a data source that can be queried by an SQL statement?
  • What technical skills are mentioned as essential for Data Analysts?
  • Data Marts and Data Warehouses have typically been relational, but the emergence of what technology has helped to let these be used for non-relational data?
  • Which one of the NoSQL database types uses a graphical model to represent and store data, and is particularly useful for visualizing, analyzing, and finding connections between different pieces of data?
  • What is one of the most significant advantages of an RDBMS?
  • Web scraping is used to extract what type of data?
  • Which of the provided options offers simple commands to specify what is to be retrieved from a relational database?
  • When gathering data, you find agents keep their records and do not constantly update the information in the shared company database. In this case, the data would be considered ————–.
  • Document stores (also called document-oriented databases) store objects based on what?
  • OpenRefine is an open-source tool that allows you to:

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Data Analytics MCQs 2

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The post is about Data Analytics MCQs. There are 20 multiple-choice questions for preparation for various subjects related to BS Data Analytics Degree Programs. Let us start with the Data Analytics MCQs with Answers.

Please go to Data Analytics MCQs 2 to view the test

Online Data Analytics MCQs with Answers

  • Which emerging technology has made it possible for every enterprise to have access to limitless storage and high-performance computing?
  • Which of the data roles is responsible for extracting, integrating, and organizing data into data repositories?
  • When you analyze historical data to predict future outcomes what type of Data Analytics are you performing?
  • A modern data ecosystem includes a network of continually evolving entities. It includes:
  • Data Analysts work within the data ecosystem to:
  • When we analyze data to understand why an event took place, which of the four types of data analytics are we performing?
  • The first step in the data analysis process is to gain an in-depth understanding of the problem and the desired outcome. What are you seeking answers to at this stage of the data analysis process?
  • From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.
  • From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.
  • Which of these skills is essential to the role of a Data Analyst?
  • What, according to Sivaram Jaladi, goes a long way in lending credibility to your data analysis findings?
  • Why is proficiency in Statistics an important skill for a Data Analyst?
  • Which of these is one of the soft skills required to be a successful Data Analyst?
  • Which of the data analyst functional skills helps research and interpret data, theorize, and make forecasts?
  • In “A Day in the Life of a Data Analyst”, what according to Sivaram Jaladi forms a large part of a Data Analyst’s job?
  • In “A Day in the Life of a Data Analyst”, what are some of the data points that were useful in analyzing the use case?
  • What data type is typically found in databases and spreadsheets?
  • Which of these data sources is an example of semi-structured data?
  • Which one of the provided file formats is commonly used by APIs and Web Services to return data?
  • What is one example of the relational databases discussed in the video?
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