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Introduction to Data Science
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Questions in this quiz (20)
1According to the 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?
- A3 - 6 million people
- B140,000 - 190,000 people
- C20,000 - 50,000 people
- D800,000 - 900,000 people
- E120,000 people
2According to this Module's reading assignment, how did Walmart address its analytical needs?
- AOutsourcing
- BCode Sharing
- CSocial Media
- DCrowdsourcing
- ENone of the above
3The New York Times reported that the average base salary of a data scientist is $85,000 + competitive bonus.
- ATrue
- BFalse
4According to professor Haider, the three important qualities to possess in order to succeed as a data scientist are:
- ACurious
- BJudgemental
- CGood Story Teller (Argumentative)
- DProficient in Programming
- EGood at Math and Statistics
5Harvard Business Review called data science the sexiest job in the 21st century.
- ATrue
- BFalse
6According to this Module's reading assignment, Hal Varian, the chief economist at Google, declared that "the sexy job in the next ten years will be ___________________".
- AStatisticians
- BEngineers
- CPhysicist
- DComputer Scientist
7According to this Module's reading assignment, the author defines a data scientist as someone who uses complicated machine learning to build predictive models, publishes their research results in online blogs, and works from home.
- ATrue
- BFalse
8According to this Module's reading assignment, the author defines data science as the art of uncovering the hidden secrets in data.
- ATrue
- BFalse
9According to this Module's reading assignment, what is admirable about Dr. Patil’s definition of a data scientist?
- AHis definition is inclusive of individuals from various academic backgrounds and training.
- BHis definition limits data science to activities involving machine learning.
- CHis definition excludes statistics.
- DHis definition is about weaving strong narratives into analytics.
10According to this Module's reading assignment, what characteristics are said to be exhibited by the best data scientists?
- AReally curious engineers and statisticians.
- BReally curious people who ask good questions.
- CCurious individuals who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.
- DThinkers who are really curious and hold a Ph.D.
- EReally curious people who ask good questions and have at least 10 years of experience.
11According to this Module's reading assignment, the output of a data mining exercise largely depends on:
- AThe data scientist
- BThe quality of data
- CThe scope of the project
- DThe programming language used
12According to this Module's reading assignment, what should you do when data is missing in a systematic way?
- ADetermine who was managing the database
- BExtrapolate the data
- CDetermine the average of the values around the missing data
- DDetermine the impact of missing data on the results and wether missing data can be excluded from the analysis
13According to this Module's reading assignment, what is an example of a data reduction algorithm?
- APrior Variable Analysis
- BCojoint Analysis
- CA/B Testing
- DPrincipal Component Analysis
14According to this Module's reading assignment, after the data is appropriately processed, transformed, and stored, what is a good starting point for data mining?
- AMachinge learning
- BData Visualization
- CNon-parametric Methods
- DCreating a Relational Database
15"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:
- AReverse Engineering
- BPrototyping
- CIn-sample Forecast
- DOverfitting
16According to this Module's reading assignment, which of the following best describes the real added value of the author's research on residential real estate properties?
- AQuantifying the magnitude of relationships between housing prices and different determinants.
- BQuantifying people's preferences of different transport services.
- CThe research determined that there was no correlation between proximity to shopping centres and housing prices.
- DThe research revealed findings that opposed basic perceptions that people hold about the real estate properties.
17Regression is a statistical technique developed by Blaise Pascal.
- ATrue
- BFalse
18According to this Module's reading assignment, what did the author's research reveal about the impact of an additional washroom on the price of a housing unit?
- AThe author found that an additional washroom did not have any impact on the price of a housing unit.
- BThe author found that an additional washroom adds more to the housing prices than an additional bedroom.
- CThe author found that an additional bedrooms add more to the housing prices than an additional washroom.
- DThe author found that an additional bedroom adds the same to the housing prices than an additional washroom. In other words , any additional room results in an equal increase to the housing prices.
19What did the author's research reveal about proximity to large shopping centres on the price of a housing unit?
- AThe author discovered that proximity to large shopping centres had a nonlinear impact on the housing prices.
- BThe author discovered that houses located more than 2.5 kms to shopping centres sold for less than the rest.
- CThe author discovered that houses located more than 5 kms to shopping centres sold for less than the rest.
- DThe author discovered that proximity to large shopping centres didn't have any significant impact on the prices of housing units.
20According to this Module's reading assignment, which of the following are questions that can be put to regression analysis?
- ADo home with brick exterior sell in rural areas?
- BWhat is the impact of lot size on housing price?
- CWhat are the typical land taxes in a house sale?
- DDo homes with brick exterior sell for less than homes with stone exterior?
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- Description
- Quiz on Introduction to Data Science, created by Edoard Dioquino on 10/02/2020.
- Author
- Edoard Dioquino
- Language
- English
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