What is Data Science? Coursera Quiz Answer

What is Data Science? Coursera Quiz Answe. The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

Enroll now: What is Data Science?

What is Data Science?

What is Data Science Coursera quiz Answer

Quiz 1– Data Science: The Sexiest Job in the 21st Century

Q1) Which of the following jobs was called by the Harvard Business Review the sexiest job of the 21st century?

  • Coal Mining
  • Data Science
  • Math and Statistics
  • Renewable Energy Engineering

Q2) According to the report by the McKinsey Global Institute, by 2018, it is projected that there will be a shortage of 140,000 – 190,000 people with deep analytical skills in the world.

  • True
  • False

Q3) Walmart addressed its analytical needs by approaching Keggle to host a competition for analyzing its proprietary data.

  • True
  • False

Q4) The New York Times reported that the average base salary of a data scientist is $85,000 + competitive bonus.

  • True
  • False

Q5) According to professor Haider, the three important qualities to possess in order to succeed as a data scientist are curious, judgemental, and proficient in programming.

  • True
  • False

Extra Questions

Q6) Harvard Business Review called data science the sexiest job in the 21st century.

  • True
  • False

Q7) How is Walmart reported to have addressed its analytical needs?

  • Social media
  • Code sharing
  • Crowdsourcing
  • Outsourcing
  • None of the options is correct

Q8) What is the average base salary of a data scientist reported by the New York Times?

  •  $100,000
  •  $150,000
  •  $112,000
  •  $16 per hour
  •  $85,000 + Bonus

Q9) According to professor Haider, the three important qualities to possess in order to succeed as a data scientist are:

  • Curious.
  • Judgemental.
  • Proficient in Programming.
  • Good at Math and Statistics.
  • Good Story Teller (Argumentative).

Quiz 2– What Makes Someone a Data Scientist?

Q1) Hal Varian, the chief economist at Google, declared that “the sexy job in the next ten years will be

  • Physicists
  • Statisticians
  • Engineers
  • Computer Scientists                

Q2) The author defines a data scientist as someone who finds solutions to problems by analyzing data using appropriate tool and then tells stories to communicate their finding to the relevant stakeholders.

  • True
  • False

Q3) According to the reading, the author defines data science as the art of uncovering the hidden secrets in data.

  • True
  • False

Q4) What is admirable about Dr. Patil’s definition of a data scientist is that it limits data science to activities involving machine learning.

  • True
  • False

Q5) According to the reading, the characteristics exhibited by the best data scientists are those who are curious, ask good questions, and are O.K. dealing with unstructured situations.

  • True
  • False

Extra Questions

Q1) Hal Varian, the chief economist at Google, declared that “the sexy job in the next ten years will be computer scientists”.

  • True
  • False

Q2) According to the reading, how does the author define data science?

  • Data science is what data scientists do.
  • Data science is some data and more science.
  • Data science is a physical science like physics or chemistry
  • Data science is the art of uncovering the hidden secrets in data.
  • Data science is a way of understanding things and understanding the world.

Q3) According to the reading, what is admirable about Dr. Patil’s definition of a data scientist?

  • His definition excludes statistics.
  • His definition limits data science to activities involving machine learning
  • His definition is about weaving strong narratives into analytics.
  • His definition is inclusive of individuals from various academic backgrounds and training.

Q4) According to the reading, the characteristics exhibited by the best data scientists are those who are curious, ask good questions, and have at least 10 years of experience.

  • True
  • False

Q5) According to the reading, what characteristics are said to be exhibited by the best data scientists?

  • Thinkers who are really curious and hold a Ph.D.
  • Really curious people who ask good questions.
  • Curious individuals who ask good questions and are O.K. dealing with unstructured situations
  • Really curious engineers and statisticians.
  • Really curious people who ask good questions and have at least 10 years of experience.

Quiz 3 — Data Mining

Q1) According to the reading, the output of a data mining exercise largely depends on:

  • The data scientist
  • The quality of the data
  • The scope of the project
  • The programming language used

Q2) Prior Variable Analysis and Principal Component Analysis are both examples of a data reduction algorithm.

  • True
  • False

Q3) After the data are appropriately processed, transformed, and stored, what is a good starting point for data mining?

  • Machine learning.
  • Data Visualization.
  • Non-parametric methods.
  • Creating a relational database.

Q4) When data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.

  • True
  • False

Q5) “Formal evaluation could include testing the predictive capabilities of the models on observed data to see how effective and efficient the algorithms have been in reproducing data.” This is known as:

  • Prototyping.
  • Overfitting.
  • In-sample forecast.
  • Reverse engineering. 

Q6) What is an example of a data reduction algorithm?

  • Cojoint Analysis.
  • A/B Testing.
  • Prior Variable Analysis.
  • Principal Component Analysis.  

Q7) After the data are appropriately processed, transformed, and stored, machine learning and non-parametric methods are a good starting point for data mining.

  • True 
  • False

Q8) In–sample forecast is the process of formally evaluating the predictive capabilities of the models developed using observed data to see how effective the algorithms are in reproducing data.

  • True
  • False

Quiz 4 — Regression



Q1) Based on the reading, which of the following best describes the real added value of the author’s research on residential real estate properties?

  • Quantifying people’s preferences of different transport services.
  • The research determined that there was no correlation between proximity to shopping centers and housing prices.
  • Quantifying the magnitude of relationships between housing prices and different determinants.
  • The research revealed findings that opposed basic perceptions thet people hold about the real estate properties.


Q2) Regression is a statistical technique developed by Blaise Pascal.

  • True
  • False

Q3) According to the reading, the author discovered that an additional bedroom adds more to the housing prices than an additional washroom.

  • True
  • False

Q4) The author discovered that houses located more than 2.5 kms to shopping centers sold for less than the rest.

  • True 
  • False

Q5) Based on the reading, which of the following are questions that can be put to regression analysis?

  • What are typical land taxes in a house sale?
  • Do homes with brick exterior sell in rural areas?
  • What is the impact of lot size on housing price?
  • Do homes with brick exterior sell for less than homes with stone exterior?

Q6) The author discovered that, all else being equal, houses located less than 5 kms but more than 2.5 kms to shopping centres sold for more than the rest.

  • True
  • False  

Q7) The real added value of the author’s research on residential real estate properties is quantifying people’s preferences of different transport services.

  • True
  • False

Q8) Regression is a statistical technique developed by Sir Frances Galton.

  • True
  • False

Q9) What did the author’s research reveal about proximity to large shopping centers?

  • The author discovered that proximity to large shopping centers didn’t have any significant impact on the prices of housing units.
  • The author discovered that proximity to large shopping centers had a nonlinear impact on the housing prices.
  • The author discovered that houses located more than 2.5 kms to shopping centers sold for less than the rest.
  • The author discovered that houses located more than 5 kms to shopping centers sold for less than the rest.

Q10) ”How much does a finished basement contribute to the price of a housing unit?” is a question that can be put to regression analysis.

  • True
  • False

The Final Deliverable

Q1) The report discussed in the reading successfully did the job of using data and analytics to generate the likely economic scenarios.

  • True
  •  False

Q2) The ultimate purpose of analytics is to communicate findings to stakeholders to formulate policy or strategy.

  • True
  • False

Q3) The Untied States Economic Forecast is a publication by McKinsey University Press.

  • True
  • False

Q4) The report discussed in the reading successfully did the job of:

  • Calculating projections for the economy
  • Summarizing pages and pages of research
  • Convincing the leadership team to act on an initiative
  • Using data and analytics to generate the likely economic scenarios

Q5) According to the reading, it is recommended that a team waits until the results of analytics are out before they can decide on the final deliverable.

  • True
  • False

Extra Questions

Q6) According to the reading, what is the ultimate purpose of analytics?

  • To evangelize data science
  • To facilitate meetings between sales and marketing
  • To efficiently store big data with minimum storage requirements
  • To communicate findings to stakeholders to formulate policy or strategy



Q7) What role of a data scientist is discussed in the reading?

  • Using insights to build a narrative to communicate findings
  • Managing a team of analysts to create a predictive model
  • Developing a strategy to fix the problems in the findings
  • Using the data to put together a story that the CEO wants to tell

Q8) According to the reading, in order to produce a compelling narrative, initial planning and conceptualizing of the final deliverable is of extreme importance.

  • True
  • False

Quiz 6 — The Report Structure

Q1) Regardless of the length of the final deliverable, which of the following does the author recommend that you include:

  • Code
  • Discussion Section
  • Appendices
  • A Cover Page
  • Table of Contents

Q2) An introductory section is always helpful in introducing the research methods and presenting the statistical calculations.

  • True
  • False



Q3) The results section is where you present:

  • The empirical findings.
  • OR Squared.
  • The methods used.
  • The conclusion.

Q4) The discussion section is where you introduce the research methods and data sources used for the analysis.

  • True
  • False

Q5) Adding a list of references and an acknowledgment section are examples of housekeeping, according to the author.

  • True
  • False

Extra Questions

Q6) The results section is where you craft your main arguments and present your conclusion.

  • True
  • False

Q7) The discussion section is where you:

  • Highlight how your findings provide the ultimate missing piece to the puzzle
  • Introduce the research methods and data sources used for the analysis
  • Refer the reader to the research question and the knowledge gaps you identified earlier
  • Rely on the power of narrative to enable numbers to communicate your important findings to the readers

Q8) Regardless of the length of the final deliverable, the author recommends that it includes a cover page, table of contents, executive summary, a methodology section, and a discussion section.

  • True
  • False

Q9) An introductory section is always helpful in:

  • Presenting the statistical calculations
  • Introducing the research methods
  • Setting up the problem for the reader who might be new to the topic
  • Advertising the product

Q10) The results section is where you craft your main arguments and present your conclusion

  • True
  • False

Q11) The discussion section is where you:

  • Introduce the research methods and data sources used for the analysis.
  • Highlight how your findings provide the ultimate missing piece to the puzzle.
  • Refer the reader to the research question and the knowledge gaps you identified earlier.
  • Rely on the power of narrative to enable numbers to communicate your important findings to the readers.

Final Quiz…..

Q1) Based on the Module 2 reading, “Regression”, the real added value of the author’s research on what type of properties is quantifying the magnitude of relationships between housing prices and different determinants?

  • Vacant
  • Foreclosed
  • Residential real estate
  • Commercial real estate

Q2) Based on the Module 2 reading, “Regression”, the author’s research revealed that adding what additional room had a bigger impact than adding a bedroom?

  • Playroom
  • Study
  • Washroom
  • Theater room

Q3) According to the Module 3 reading, “The Final Deliverable”, the ultimate purpose of analytics is to communicate findings to stakeholders to do what?

  • Evangelize data science..
  • Formulate policy or strategy
  • Facilitate meetings between sales and marketing
  • Efficiently store big data with minimum storage requirements

Q4) According to the Module 3 reading, “The Final Deliverable”, the ultimate purpose of analytics is to communicate findings to what people to formulate policy or strategy?

  • CEO’s 
  • Salespeople
  • Marketing
  • Stakeholders

Q5) According to the Module 3 reading, “The Final Deliverable”, the ultimate purpose of _________ is to communicate findings to stakeholders to formulate policy or strategy.

  • Sales
  • Analytics
  • Data science
  • Big data

Q6) The reading in Module 3, “The Final Deliverable”, mentions a common role of a ____________ is to use analytics insights to build a narrative to communicate findings to stakeholders.

  • CEO
  • CFO
  • Engineer
  • Data scientist

Q7) Based on the Module 3 reading, “The Final Deliverable”, what is the role of a data scientist?

  • Managing a team of analysts to create a predictive model
  • Developing a strategy to fix the problems in the findings
  • Using insights to build a narrative to communicate findings
  • Using the data to put together a story that boosts financial outlooks

Q8) Based on the Module 3 reading, “The Report Structure”, regardless of the length of the ___________, the author recommends that it includes a cover page, table of contents, executive summary, a methodology section, and a discussion section.

  • Spreadsheet 
  • Data set
  • Presentation
  • Final deliverable

Q9) Based on the Module 3 reading, “The Report Structure”, regardless of the length of the final deliverable, the author recommends that it includes a cover page, table of contents, executive summary, a methodology section, and a discussion section.

  • True
  • False

Q10) An introductory section is always helpful in introducing the research methods and presenting the statistical calculations.

  • True
  • False

Q11) Based on the Module 3 reading, “The Report Structure”, an introductory section is always helpful in setting up the problem for the reader who might be what?

  • Wanting to know the research methods
  • Looking for the statistical calculations
  • New to the topic
  • In sales

Q12) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, a report by the McKinsey Global Institute, by 2018, it is projected that there will be a shortage of people with deep analytical skills in the United States. What is the size of this shortage?

  • 20,000 – 50,000 people
  • 800,000 – 900,000 people
  • 140,000 – 190,000 people
  • 3 – 6 million people
  • 120,000 people

Q13) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, a report published by the McKinsey Global Institute, it is projected that there would be a shortage of 140,000 – 190,000 people with what type of skills in the United States by 2018?

  • Social skills
  • Economic skills
  • Deep analytical skills
  • Management skills 

Q14) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, which of the following jobs was called by the Harvard Business Review the sexiest job of the 21st century?

  • Coal Mining
  • Engineering
  • Data Science
  • Math and Statistics
  • Renewable Energy Engineering

Q15) According to the Module 1 reading, “The Sexiest Job in the 21st Century”, what adjective did Harvard Business Review use to describe the job of Data Science in the 21st century?

  • appealing
  • easiest
  • sexiest
  • exciting

Q16) According to the Module 1 reading “What Makes Someone a Data Scientist”, Hal Varian, the chief economist at what company, declared that “the sexy job in the next ten years will be statisticians”?

  • Microsoft
  • Facebook
  • Google
  • IBM

Q17) According to the reading Module 1 “What Makes Someone a Data Scientist”, the author defines a data scientist as someone who finds solutions to what, by analyzing data using appropriate tools and then tells stories to communicate their findings to the relevant stakeholders?

  • Questions
  • Problems
  • Drawbacks
  • Complications

Q18) According to the Module 1 reading “What Makes Someone a Data Scientist”, the author defines a data scientist as someone who finds solutions to problems by analyzing data using appropriate tools and then tells stories to communicate their findings to whom?

  • The public
  • The company
  • The relevant stakeholders
  • Their supervisor

Q19) According to the Module 2 reading “Data Mining”, the output of a data mining exercise largely depends on the quality of what?

  • The project
  • The material
  • The data
  • The data scientist

Q20) According to the Module 2 reading “Data Mining”, the ______ of a data mining exercise largely depends on the quality of the data.

  • Input
  • Difficulty
  • Results
  • Output

Q21) According to the reading, “Data Mining”, the output of a data mining exercise largely depends on:

  • The data scientist
  • The quality of the data
  • The scope of the project
  • The programming language used

Q22) According to the Module 2 reading, “Data Mining”, when data is missing in a systematic way, you should do what?

  • Stop immediately
  • Extrapolate and average the data 
  • Find out who was managing the database
  • Determine the impact of the missing data on the results and whether missing data can be excluded from the analysis

Q23) According to the Module 2 reading, “Data Mining”, when data is missing in a systematic way, you should determine the impact of the missing data on the results and whether missing data can be excluded from what?

  • The analysis
  • The data set
  • The study
  • The evaluation

Q24) According to the Module 2 reading, “Data Mining”, when data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by filling in the average of the values around the missing data.

  • True
  • False

Q25) Based on the Module 2 reading, “Regression”, the author’s research on residential real estate properties quantified what?

  • The likelihood of a house selling rapidly
  • That people hold no basic perceptions on real estate properties
  • The relationship between housing and transportation
  • The magnitude of relationships between housing prices and different determinants

Q26) Based on the Module 3 reading, “The Report Structure”, an introductory section is always helpful in doing what for the reader who might be new to the topic?

  • Setting up the problem
  • Describing the data set
  • Showing the research methods..
  • Presenting the statistical calculations

Conclution:

We hope you will do well in your What is Data Science? by our article. If you think It helps you a little please share it with your friends. And Stay with queryfor.com for any kind of Exam or quiz Answer. We also provide Coursera Quiz answer, Coursehero free Unlock.

Similar Posts