Data Analytics MCQs Questions 4

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

 
 
 
 

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

 
 

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

 
 
 
 

4. 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.

 
 

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

 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

9. A Principal Data Analyst is responsible for

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 

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

 
 
 
 
 

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

 
 
 
 

18. 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.

 
 

19. 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.

 
 

20. 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?

 
 
 
 

Quiz DAta Analytics MCQs 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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Data Visualization Questions 5

The post is about Online Data Visualization Questions with Answers. There are 20 multiple-choice questions from data visualizations (charts and graphs, such as histogram, frequency curve, cumulative frequency polygon, bar chart, pie chart, exploratory data analysis, etc.) Let us start with the Online Data visualization Questions with Answers now.

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Data Visualization Questions with Answrs

Data Visualization Questions with Answers

  • Which plot type helps you validate normality assumptions?
  • Which plot types help you validate assumptions about linearity?
  • When conducting exploratory data analysis, which visualizations are particularly useful for examining the distribution of numerical data and skewness through displaying the data quartiles (or percentiles) and averages?
  • When conducting exploratory data analysis (EDA), visualizations are particularly useful for plotting the target variable over multiple variables to get visual clues of the relationship between these variables and the target.
  • Which of the following is NOT true of a scatter plot?
  • In a box plot, the interquartile range (IQR) contains
  • Which chart type shows the inner subdivision of a value among different categories or groups?
  • Which chart is a type of trend chart?
  • What type of chart is a scatter plot?
  • Which chart is a type of comparison chart?
  • What are trend charts used for?
  • Which of the following is NOT the purpose of data visualization?
  • Which graph type helps you visualize the count of categorical or grouped data?
  • What is the difference between a histogram and a bar chart?
  • Data visualizations such as graphs and charts are a great way to bring data to life.
  • In a box plot, in which quartile does 75% of the sorted data fall below?
  • Which statement is true regarding box plots?
  • Which statement is true about the interquartile range of a data set?
  • What is the goal of Data Visualization?
  • What is the discipline of communicating information through the use of visual elements?

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Data Mining Questions

The post is about Data Mining Questions for job interview and examinations preparation. These data mining Questions will be helpful in understanding the subject.

Data Mining Questions

The data mining questions in this post cover some basics of Data Mining and Data Mining Techniques.

Data Mining Questions Job Interview

Explain the primary stages in “Data Mining”

There are three primary stages in Data Mining. A short description of each stage is described below:

  1. Exploration
    The exploration is a stage has a lot of activities are around the preparation and collection of different data sets. Activities like cleaning and transformation of data are also included in the exploration stage. Depending upon the type and volume of the data sets, different tools are used for the exploration and analysis of the data.
  2. Model Building and Validation
    In the model building and validation stage, the data sets are validated by applying different models where the data sets are compared for best performance. This step is called Pattern Identification. This is a tedious process because the user must identify which pattern is best suitable for each prediction.
  3. Deployment
    Based on the model building and validation step, the best pattern is applied for the data sets and it is used to generate predictions and help in estimating expected outcomes.

What is the scope of Data Mining?

Data mining involves exploring and analyzing a huge amount of data to get insights and glean meaningful patterns and trends. Data mining can be used to automate the predictions of trends and behaviours.

Data mining encompasses a wide range of applications across various industries, including business intelligence, customer relationship management, scientific research, fraud detection, risk assessment, market analysis, and healthcare.

One can use data mining techniques to automate the process of finding predictive information available in large datasets. Many questions are answered from the data by performing extensive hands-on analysis. Targeted marketing is a typical example of predictive marketing. On the other hand, data mining is also used on past promotional mailings.

Data mining is also used to identify previously hidden patterns in one step. For example, retail sales data is a very good example of pattern discovery. Data mining can also be used to identify the unrelated products that are often purchased together.

What are the Cons of Data Mining?

The security is a major cons of data mining. The time at which users are online for various uses must be important. The users do not have a security system in place to protect them. Some of the data mining analytics use software that is difficult to operate. Thus, data analytics requires a user to have knowledge-based training. The data mining techniques are not 100% accurate. Hence, it may cause serious consequences in certain conditions.

What are the issues in Data Mining?

Several issues need to be addressed by any serious data mining package. For example,

  • Data selection
  • Uncertainty handling
  • Dealing with missing values
  • Dealing with noisy data
  • Incorporating domain knowledge
  • Efficiency of algorithms
  • Constraining knowledge was discovered to be only useful
  • size and complexity of data
  • Understandably of discovered knowledge
  • Consistency between data and discovered knowledge

Explain the Areas where Data Mining has Good Effects.

The following are a few of the areas where data mining has good effects:

  • Predict future trends
  • Customer purchase habits
  • Help with decision-making
  • Improve company revenue and lower costs
  • Market basket analysis

Explain the Areas where Data Mining has Bad Effects

The following are a few of the areas where data mining has bad effects:

  • User privacy/ security
  • The amount of data is overwhelming
  • Great cost at the implementation stage
  • Possible misuse of information
  • Possible inaccuracy of data

What are the Different Problems that Data Mining can solve in General?

Data mining can solve a variety of problems by analyzing large datasets to extract meaningful patterns and insights that can inform decision-making across various industries, it includes:

  • customer behavior prediction,
  • trend forecasting,
  • market segmentation,
  • targeted marketing,
  • scientific research exploration
  • risk assessment,
  • fraud detection,
  • anomaly detection,
  • pattern recognition,
  • process optimization,
  • customer churn analysis,
  • identifying inefficiencies

By following the standard principles, a lot of illegal activities can be identified and dealt with. As the internet has evolved a lot of loopholes also evolved at the same time.

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Elementary Statistics Quiz 20

This Statistics Test is about MCQs Basic Elementary Statistics Quiz with Answers. There are 20 multiple-choice questions from Basics of Statistics, measures of central tendency, measures of dispersion, Measures of Position, and Distribution of Data. Let us start with the MCQS Basic Elementary Statistics Quiz with Answers

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Elementary Statistics Quiz with Answers

  • What is the 25th percentile of the following data set; 1, 3, 3, 4, 5, 6, 6, 7, 8, 8
  • Which of the following is a measure of variability?
  • Which of the following measures of central tendency will always change if a single value in the data changes?
  • Which data sets have a mean of 10 and a standard deviation of 0?
  • What is meta data?
  • Which of the following is an example of categorical data?
  • The median represents a value in the data set where:
  • If the variance of a dataset is correctly computed with the formula using ($n – 1$) in the denominator, which of the following options is true?
  • Which of the following is NOT a descriptive statistic?
  • What is one of the common measures of Central Tendency?
  • What is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of numerical or quantitative data?
  • When you are calculating the middle value of a data field in a data set, actually, what are you calculating?
  • What is the general tendency of a set of data to change over time called?
  • The interquartile range (IQR) is which of the following?
  • Which dispersion is used to compare the variation of two series?
  • Which of the following is written at the top of the table?
  • The formula of mid-range is
  • Which one of the following is not included in measures of central tendency?
  • For the data 2, 3, 7, 0, -8. The Geometric mean will be
  • Under which of the following conditions would the standard deviation assume a negative value?
Basic Elementary Statistics Quiz with Answers

MCQs in Statistics

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