Data Science MCQs 2

Master Data Science MCQs for exams & interviews! Boost your skills in data analysis, machine learning, and statistical modeling with 20 key multiple-choice questions. Perfect for aspiring data scientists, analysts, and researchers preparing for competitive tests or career advancement. Get ready to excel in data-driven decision-making! Let us start with the Data Science MCQs Quiz now.

Online Data Science MCQs Test with Answers
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Data Science Quiz 2

Online MCQs about Data Science with Answers

tail spin

1 / 20

What are some of the first steps that companies need to take to get started in data science?

2 / 20

Imagine you are working for a retail company that wants to optimize its product offerings and marketing strategies. In this scenario, you would use Data Science for

3 / 20

You have just started your career as a data scientist. Which of the following skills should you develop to succeed as a data scientist? You should

4 / 20

Which of the following are applications of data science?

5 / 20

Select the correct sentence about the data science methodology as explained in the course.

6 / 20

Which of the following statements is correct?

7 / 20

Considering an individual with a marketing background transitioning to data science, how might their marketing experience contribute to their data science journey?

8 / 20

You are a data scientist about to start a new project. What would one of your key roles be?

9 / 20

Which of the following statements is correct?

10 / 20

As an aspiring data scientist, what primary qualities should you possess to succeed in the field?

11 / 20

How does the data science methodology ensure continuous improvement?

12 / 20

Why are companies looking for well-rounded individuals when hiring data scientists?

13 / 20

In a healthcare context with patient data, medical histories, and treatment outcomes, Data Science can be applied to:

14 / 20

What is one key foundational skill required for someone entering a data science team?

15 / 20

Due to the shortage of data scientists, employers are willing to pay top salaries for their talent, with an average base salary for data scientists reported as $112,000.

16 / 20

What is the role of data analysis in Data Science, and how does it contribute to decision-making?

17 / 20

Data science is the field of exploring, manipulating, and analyzing data, and using data to answer questions or make recommendations.

18 / 20

You have the task of defining the role of a data scientist for a retail company that seeks to improve its product offerings and marketing strategies. In this context, a data scientist would primarily engage in which activity?

19 / 20

When did the term "data science" come into existence, and who is credited with coining the term?

20 / 20

The three important qualities to possess to succeed as a data scientist are:

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The average score is 55%

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Online Data Science MCQs with Answers

  • Which of the following statements is correct?
  • How does the data science methodology ensure continuous improvement?
  • Select the correct sentence about the data science methodology as explained in the course.
  • What is one key foundational skill required for someone entering a data science team?
  • What are some of the first steps that companies need to take to get started in data science?
  • Which of the following are applications of data science?
  • You have the task of defining the role of a data scientist for a retail company that seeks to improve its product offerings and marketing strategies. In this context, a data scientist would primarily engage in which activity?
  • As an aspiring data scientist, what primary qualities should you possess to succeed in the field?
  • When did the term “data science” come into existence, and who is credited with coining the term?
  • You are a data scientist about to start a new project. What would one of your key roles be?
  • You have just started your career as a data scientist. Which of the following skills should you develop to succeed as a data scientist? You should
  • Considering an individual with a marketing background transitioning to data science, how might their marketing experience contribute to their data science journey?
  • In a healthcare context with patient data, medical histories, and treatment outcomes, Data Science can be applied to:
  • What is the role of data analysis in Data Science, and how does it contribute to decision-making?
  • Imagine you are working for a retail company that wants to optimize its product offerings and marketing strategies. In this scenario, you would use Data Science for
  • The three important qualities to possess to succeed as a data scientist are:
  • Due to the shortage of data scientists, employers are willing to pay top salaries for their talent, with an average base salary for data scientists reported as $112,000.
  • Why are companies looking for well-rounded individuals when hiring data scientists?
  • Which of the following statements is correct?
  • Data science is the field of exploring, manipulating, and analyzing data, and using data to answer questions or make recommendations.

Data Analysis with R

Deep Learning Quiz 2

The post is about a Deep Learning Quiz. There are 20 multiple-choice questions covering topics related to the pros and cons of Deep Learning (DL), DL and Machine Learning (ML) Methods for the improvement of output variables, structured data, TensorFlow, AlphaGo, Microsoft CNTK, Google’s TPU, etc. Let us start with the Deep Learning Quiz now.

Online Deep Learning Quiz with Answers

Online Deep Learning Quiz with Answers

1. Among the following statements on Google’s TensorFlow, which is incorrect?

 
 
 
 

2. Which of the following is not a DL (Deep Learning) open source software?

 
 
 
 
 
 

3. Among the following statements on the pros and cons of DL (Deep Learning), which is incorrect?

 
 
 
 

4. Among the following reasons on why DL (Deep Learning) is popular now, which is incorrect?

 
 
 
 

5. Among the following descriptions on Google’s AlphaGo, which is incorrect?

 
 
 
 

6. Among the following methods of how DL (Deep Learning) and ML (Machine Learning) can help to improve sales growth, which is incorrect?

 
 
 
 

7. Among the following descriptions on Google’s TPU (Tensor Processing Unit), which is incorrect?

 
 
 
 

8. Among the following descriptions of the Object Localization contest (top-5) winners of the ILSVRC (ImageNet Large Scale Visual Recognition Challenge), which is incorrect?

 
 
 
 

9. Among the following application areas corresponding to data types that are used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is incorrect?

 
 
 
 

10. Among the following statements on Microsoft CNTK (Cognitive Toolkit), which is incorrect?

 
 
 
 

11. Among the following descriptions on NVIDIA DGX-1, which is incorrect?

 
 
 
 

12. Among the following statements on Google’s TensorFlow, which is incorrect?

 
 
 
 

13. Among the following descriptions on Google’s AlphaGo, which is incorrect?

 
 
 
 

14. Among the following mappings of CNTK Network Graph Nodes, which is incorrect?

 
 
 
 
 

15. Among the following statements on Google’s TensorFlow, which is incorrect?

 
 
 
 

16. Among the following descriptions on Google’s AlphaGo, which is incorrect?

 
 
 
 

17. Based on the lecture “Characteristics of Businesses with DL & ML,” among the following data types used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is not a structured data type?

 
 
 
 

18. Among the following descriptions on the ILSVRC (ImageNet Large Scale Visual Recognition Challenge), which is incorrect?

 
 
 
 

19. Among the following descriptions of the Object Localization contest (top-5) winners of the ILSVRC (ImageNet Large Scale Visual Recognition Challenge), which is incorrect?

 
 
 
 
 

20. Based on the lecture “What is Deep Learning & Machine Learning,” among the following computer performance units described, which is incorrect?

 
 
 
 

Online Deep Learning Quiz with Answers

  • Among the following reasons on why DL (Deep Learning) is popular now, which is incorrect?
  • Among the following statements on the pros and cons of DL (Deep Learning), which is incorrect?
  • Among the following methods of how DL (Deep Learning) and ML (Machine Learning) can help to improve sales growth, which is incorrect?
  • Based on the lecture “Characteristics of Businesses with DL & ML,” among the following data types used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is not a structured data type?
  • Among the following application areas corresponding to data types that are used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is incorrect?
  • Which of the following is not a DL (Deep Learning) open source software?
  • Among the following statements on Google’s TensorFlow, which is incorrect?
  • Among the following descriptions on Google’s AlphaGo, which is incorrect?
  • Among the following descriptions of the Object Localization contest (top-5) winners of the ILSVRC (ImageNet Large Scale Visual Recognition Challenge), which is incorrect?
  • Among the following statements on Google’s TensorFlow, which is incorrect?
  • Among the following statements on Google’s TensorFlow, which is incorrect?
  • Among the following statements on Microsoft CNTK (Cognitive Toolkit), which is incorrect?
  • Among the following mappings of CNTK Network Graph Nodes, which is incorrect?
  • Among the following descriptions on NVIDIA DGX-1, which is incorrect?
  • Among the following descriptions on Google’s AlphaGo, which is incorrect?
  • Among the following descriptions on Google’s AlphaGo, which is incorrect?
  • Among the following descriptions on Google’s TPU (Tensor Processing Unit), which is incorrect?
  • Among the following descriptions on the ILSVRC (ImageNet Large Scale Visual Recognition Challenge), which is incorrect?
  • Among the following descriptions of the Object Localization contest (top-5) winners of the ILSVRC (ImageNet Large Scale Visual Recognition Challenge), which is incorrect?
  • Based on the lecture “What is Deep Learning & Machine Learning,” among the following computer performance units described, which is incorrect?

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Data Science Quizzes

Kickstart your data science journey with our Basics of Data Science Quizzes post, designed specifically for data science and statistics students! This curated list features a variety of quizzes covering fundamental topics like data preprocessing, statistical analysis, probability, data visualization, and introductory machine learning concepts. Whether you are a beginner looking to build a strong foundation or an advanced learner aiming to refresh your knowledge, these quizzes are the perfect tool to test your understanding, identify areas for improvement, and gain confidence in core data science skills. Dive into this interactive learning experience and take the first step toward mastering the essentials of data science today!

Online MCQs Data Science Quizzes with Answers

Online Data Science Quizzes with Answers

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