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WorksheetsEverfi Data Science Foundation
Total questions: 64
Worksheet time: 36mins
Rate your understanding of Data Engineering.
1* I am super lost
2** I get some things but not others
3*** I feel pretty good; I just need more practice
4**** I feel super Confident
The practice of collecting data and finding insights from data is called ________________.
data collection
data visualization
data science
data analysis
Data science refers to _______________.
the practice of collecting data and finding insights from data
presenting data in a visually appealing way
designing, setting up, and maintaining large collections of data called databases
gathering and measuring data, which can include surveys and other collection tools
What is data science?
A term synonymous with data collection
A term referring to the practice of collecting and finding insights from data
Both answers
Neither Answers
Data collection, database management, and data visualization are the _______________.
steps a research analyst takes before starting their research
steps a data scientist takes before determining usable results
practices a data analyst must use to be credible
None of these answers
Which of the following steps does a data scientist take before determining usable results?
data visualization
data collection
database management
Data deletion
A data scientist takes the following steps before determining usable results:
data collection, machine learning, and data visualization
data collection, machine learning, and database management
data collection, database management, and data visualization
data collection, machine learning, and data analysis
Data science is a growing career field because __________________.
as many as two-thirds of companies are expanding their data science teams every year
hiring for artificial intelligence has almost doubled over the last few years
employers struggle to train, hire, and keep qualified talent
Companies are wanting more personalized workers and less technology
Why is data science a growing career field?
There is a skills gap with several job openings, but not enough qualified people to fill those
job openings
Salaries for data science jobs are high and increase rapidly overtime
Both answers
Neither answers
Which ofthe following statements explains why data science is a growing career field?
There are more qualified people for data science jobs than job openings in data science
Employers can easily train, hire and keep qualified data science professionals
Growth of data science teams across companies has been stagnant
Salaries for data science jobs are high and increase rapidly over time
Which of the following steps does a data scientist take before they can provide data e useful for decision-making purposes?
Collect data
Clean data
Analyze data
Visualize data
Rate your understanding of Data Engineering.
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2** I get some things but not others
3*** I feel pretty good; I just need more practice
4**** I feel super Confident
In order for a data scientistto make recommendations,their data must be _____________________.
clean, accurate, and representative
incomplete, inconsistent, and manipulated
Both answers
Neither Answer
A data scientist takes the following chronological steps before they can provide data that are
useful for decision-making purposes:
collect data, clean data, analyze data, visualize data, then make recommendations
collect data, clean data, analyze data, make recommendations, then visualize data
collect data, clean data, visualize data, make recommendations, then analyze data
collect data, clean data, visualize data, analyze data, then make recommendations
Data scientists identify (a) and (b) in data to address business problems.
Which ofthe following methods are used by data scientists to address business problems?
Identifying trends in sales data
Identifying patterns in sales data
Both Answers
Neither Answers
Which of the following methods is a data scientist least likely to use to address business problems?
Identifying trends in a dataset
Analyzing feedback from 50 out of 50,000 customers
Identifying patterns in a dataset
Analyzing feedback from 10,000 out of 50,000 customers
(a) analytics refer to observations based on data while (b) analytics refers to using data to help determine what may happen in the future.
Whatis the difference between descriptive and predictive analytics?
Descriptive analytics refer to observations based on data.
While predictive analytics refers to using data to help determine what may happen in the future.
Predictive analytics refer to observations based on data.
While descriptive analytics refers to using data to help determine what may happen in the future.
Both Answers
Neither answer
Whatis the relationship between descriptive and predictive analytics?
Descriptive analytics describes potential future data.
While predictive analytics describes
historical data.
Descriptive analytics describes a proactive approach to a data set.
While predictive
analytics describes a reactive approach to a dataset
Descriptive analytics can be used as a starting point for predictive analytics
There is no relationship between descriptive and predictive analytics.
Which of the following statements explain how data scientists can help businesses achieve their
goals?
Data scientists have a scientific process for using data to make recommendations for
businesses that can help them achieve their goals.
Data scientists do not understand the right questions to ask so they have trouble
identifying areas a business can improve.
Both Answers
Neither Answer
How can data scientists help businesses achieve their goals?
Data scientists are skilled in knowing the right questions to ask and identifying areas a
business can improve
Data scientists have a scientific process for using data to make recommendations for
businesses that can help them achieve their goals.
Both Answers
Neither Answer
Data scientists can help businesses achieve their goals by:
Being skilled in knowing the right questions to ask and identifying areas a business can
improve
Identifying areas a business can improve
Having a scientific process for using data to make recommendations
Stealing clients
Rate your understanding of Data Engineering.
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2** I get some things but not others
3*** I feel pretty good; I just need more practice
4**** I feel super Confident
Which of the following examples describes how data science can improve business outcomes?
A podcast app that recommends new podcasts that a customer might be interested in
based on the ones they currently listen to.
A professional volleyball coach mapping where their team should spike the ball on the
court to get the most points in a game.
Both of these
Neither of these
Which ofthe following examples describes how data science can better inform consumers?
A mobile banking app that tracks a customers spending and visualizes their spending
habits by category with a chart
A public health organization predicting the pace in spread of new virus strains developing
across countries
Both of these
Neither of these
Collecting data that is publicly available on the internet, usually by using an automated tool is
called _________.
data formatting
data type
sentiment analysis
web scraping
Why might a business use web scraping to collect data?
To analyze data and gain insights that can be used to make informed business decisions
To determine what customers think about a new product that just launched
Both of these
Neither of these
Which ofthe following methods are used by companies to collect data?
Open and close-ended surveys
Focus groups and interviews
Online analytics and artificial intelligence
All of these
Which ofthe following is not an example of methods used by companies to collect data?
Customer reviews
Open-ended survey
Online analytics
Focus groups
Companies collect data from ________________.
close-ended surveys, open-ended surveys, interviews, focus groups and online analytics
close-ended surveys, open-ended surveys, interviews, focus groups and customer reviews
close-ended surveys, open-ended surveys, interviews, focus groups and social media posts
close-ended surveys, open-ended surveys, social media posts, customer reviews and online
analytics
_______________ refers to data that is non-numeric while __________________ refers to data that is numeric.
Quantitative data; qualitative data
Qualitative data; quantitative data
Location data; listening data
Artist data; user behavior data
What is the difference between qualitative and quantitative data?
Qualitative data is non-numeric while quantitative data is numeric
Qualitative data is usually the result of open-ended data collection while quantitative data
is usually the result of close-ended data collection
Both Answers
Neither Answers
_______________ refers to data a person or business collects themselves
while __________________refers to data that is collected and analyzed by another source.
Qualitative data; quantitative data
Quantitative data, qualitative data
Primary data; secondary data
Secondary data; primary data
Why is it important for data scientists to clean data?
To ensure accuracy and usability of data
To fix and respond to errors
Both Answers
Neither Answers
Rate your understanding of Data Engineering.
1* I am super lost
2** I get some things but not others
3*** I feel pretty good; I just need more practice
4**** I feel super Confident
The graphical representation of data, usually in a visually appealing way, is called ____________.
data validation
data distribution
artificial intelligence
data visualization
Trends, or how something has changed over time, and comparison, or how data sets are similar
or different, can both be displayed with ____________________.
Histograms
Bar graphs
Line graphs
Pie charts
A _______________is best used to display relationships, or how different data is connected, while a
_______________is best used to display distribution, or how pieces of data are connected as a
whole.
pie chart; bar graph
. bar graph; pie chart
line graph; histogram
histogram; line graph
A business owner discovered that summer has been the season with the highest sales over the
last 5 years is an example of_____________.
predictive analytics
descriptive analytics
data trends
data validation
Which ofthe following examples does not use descriptive analytics?
A retail store wants to know if it's worth creating a loyal customer discount by seeing how
many repeat customers they had last year.
A non-profit organization using last year's total donations to project next year's total
donations
A business owner discovering that spring has been the season with the highest sales over
the last 4 years
Human resources has developed a survey to determine how engaged employees are
currently feeling at the company
A non-profit organization using last year's total donations to project next year's total donations
is an example of_____________.
predictive analytics
description analytics
sentiment analysis
data consistency
. __________ and ___________ are best used to visualize how data is distributed.
Scatter plots; histograms
Scatter plots; bar graphs
Histograms; bar graphs
Histograms; pie charts
Scatter plots and histograms are best used to visualize:
. How a process or procedure is diagrammed
How pieces of data compare within a data set
How data changes over time
How data is distributed
scatter plots and histograms show how data is distributed while ____________ shows trends, or
how data changes over time.
pie charts
column charts
flow charts
line graphs
How do scatter plots and histograms differ from line graphs?
Scatter plots and histograms show how data is distributed while line graphs show trends,
or how data changes over time.
Scatter plots and histograms show trends, or how data changes over time while line graphs
show how data is distributed.
All three are used synonymously (mean the same thing)
None of these
. A _________________is the best way to display the percentage of employees that work in sales, marketing, and customer service at a large bank.
scatterplot
flow chart
population pyramid
pie chart
A dietician is looking to help one of their clients, a professional athlete, with better eating
habits. They begin with a current breakdown of their client's diet by food group. Which of the
following options best visualizes this information?
Pie chart
Flow chart
Column chart
There is not enough information to make a determination
Rate your understanding of Data Engineering.
1* I am super lost
2** I get some things but not others
3*** I feel pretty good; I just need more practice
4**** I feel super Confident
________________ give a live view of changing data all in one place while __________________ pull specific trends and conclusions found in data that can explain the impact and outcome of data analysis
Dashboards; reports
Reports; dashboards
Presentations; graphs
Graphs; presentations
Dashboards _______________ while reports ____________________.
give a live view of changing data all in one place; pull specific trends and conclusions found
in data that can explain the impact and outcome of data analysis
should be used when information is needed on a regular basis; should be used when
information is needed periodically
Both answers
neither answer
Which of the following statements best describes dashboards and reports?
Dashboards give a live view of changing data all in one place while reports pull specific
trends and conclusions found in data that can explain the impact and outcome of data
analysis.
Dashboards should be used when information is needed on a regular basis while reports
should be used when information is needed periodically.
. Dashboards display individual data points in a data set while reports can include some or
all data points in a data set.
None of these
What do data dashboards and reports have in common?
They are both types of data reporting outputs.
They both contain data visualization.
both answers
neither answers
Which of the following data sets is best shown in a dashboard?
A data set of the most common occupation by state in the United States
A data set of current new job openings in the transportation industry
A data set of the most purchased menu items at a restaurant
all of these answers
A data set of the least purchased menu items at a bakery is best shown as a _________________.
Dashboard
Report
Memo
None of these answers
Which of the following is an example of information that is best shown as a report?
A college counselor wants to know which universities have the highest acceptance rate
based on admissions data from last year
Human resources wants to tell a business executive how happy their employees were this
month from open-ended survey results
Both of these answers
None of these answers
The chance that something will happen is called ___________.
statistics
probability
predictive analytics
descriptive analytics
Animal prints have become increasingly popular over the last 6 months. A fashion entrepreneur
decides to design an entire clothing line using animals as the theme. This is an example of
______________.
a business identifying trends to better inform decision making
a business identifying probabilities to better inform decision making
a business identifying outliers to better inform decision making
None of these
Which ofthe following examples explain how data analysis can influence a business or
organization's decision making ability?
A fashion entrepreneur noticing increased popularity in animal print clothing items over
the last 6 months and deciding to develop a clothing line around that theme.
A non-profit director noticing a high rate of success with a fundraising campaign for small
eco-friendly companies and calculating the probability of a similar fundraising campaign
working well for those same eco-friendly companies.
Both answers
None of these answers
Businesses and organizations can analyze data to identify _____________ and _______________that can result in better-informed decision-making.
trends; probabilities
trends; outliers
probabilities; outliers
probabilities; customer reviews
Which ofthe following statements explain how data analysis can influence a business or
organization's decision making ability?
. It can help determine trends, which could better inform decision makers
It can help determine products or projects that are worth expanding based on the success
of a smaller project or product launch
It can help determine the probabilities of events that influence the rate of success for a
project or product
none of these
Reports are best used to:
tell an audience a story about data
articulate high-level takeaways from a research study
draw conclusions from the result of a project
none of these
Which of the following audiences is least likely to be interested in seeing data on a dashboard?
A data scientist sharing real-time information with their colleagues
A statistics professor demonstrating to their students how to gather and track data all in
one place
An analyst detailing in-depth analysis of an ongoing project to their supervisor
A fashion entrepreneur that researches other companies' sales before deciding on designs
for their next clothing line release.
Rate your understanding of Data Engineering.
1* I am super lost
2** I get some things but not others
3*** I feel pretty good; I just need more practice
4**** I feel super Confident
