What is Data Science Final Exam Quiz Answer

What is Data Science

Final Exam Quiz Answer

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.

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

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?