Google Data Analytics Professional Certificate Answers - Coursera

Course Challenge Dataset - Scenario 2

Now, it’s time to process the data. As you know, this step involves finding and eliminating errors and inaccuracies that can get in the way of your results. While cleaning the data, you notice that information about Splashtastic is missing for Store Number 15 in Row 16. Which of the following would be an appropriate course of action?

Delete the row with the missing data point.
- Replace the row with the average values of the other data points.
- Sort the spreadsheet so the row with missing data is at the bottom.

Investigate previous projects and see how this was dealt with there.

Scenario 1 continued

Once you’ve found the missing information, you analyze your dataset.

During analysis, you create a new column F. At the top of the column, you add: Average Percentage of Total Sales - Splashtastic. What is this column label called?

A title
- A reference

An attribute

A headline

Scenario 1 continued

Next, you determine the average total daily sales over the past 12 months at all stores. The entire range of cells that contain these sales are E2:E39. The correct syntax is =AVERAGE(E2:E39).

True

False

Scenario 1 continued

Fill in the blank: You’ve reached the share phase of the data analysis process. One of the things that you can do in this phase is to prepare a _____ about Splashtastic’s sales and practice your presentation.

prediction
- finding
- record

slideshow

Scenario 2, questions 6-10

You’ve been working for the nonprofit National Dental Society (NDS) as a junior data analyst for about two months. The mission of the NDS is to help its members advance the oral health of their patients. NDS members include dentists, hygienists, and dental office support staff.

The NDS is passionate about patient health. Part of this involves automatically scheduling follow-up appointments after crown replacement, emergency dental surgery, and extraction procedures. NDS believes the follow-up is an important step to ensure patient recovery and minimize infection.

Unfortunately, many patients don’t show up for these appointments, so the NDS wants to create a campaign to help its members learn how to encourage their patients to take follow-up appointments seriously. If successful, this will help the NDS achieve its mission of advancing the oral health of all patients.

Your supervisor has just sent you an email saying that you’re doing very well on the team, and he wants to give you some additional responsibility. He describes the issue of many missed follow-up appointments. You are tasked with analyzing data about this problem and presenting your findings using data visualizations.

An NDS member with three dental offices in Colorado offers to share its data on missed appointments. So, your supervisor uses a database query to access the dataset from the dental group. The query instructs the database to retrieve all patient information from the member’s three dental offices, located in zip code 81137.

The table is dental_data_table, and the column name is zip_code. You write the following query, but get an error. What statement will correct the problem?

SELECT * FROM dental_data_table WHERE zip code = 81137

zip_code = 81137
- WHERE_zip code = 81137

WHERE zip_code = 81137

WHERE 81137

Scenario 2 continued

The dataset your supervisor retrieved and imported into a spreadsheet includes a list of patients, their demographic information, dental procedure types, and whether they attended their follow-up appointment. To use the dataset for this scenario, click the link below and select “Use Template.”

Link to template: Course Challenge - Scenario 2

If you don’t have a Google account, you can download the template directly from the attachment below.

Course Challenge Dataset - Scenario 1 - Scenario 1_ Pharmacy Data - Part 1

The patient demographic information includes data such as age, gender, and home address. When examining the geographic data, you notice that all the patients live in the same zip code.

Fill in the blank: The fact that the dataset includes people who all live in the same zip code might get in the way of ______.

fairness

accuracy
spreadsheet formulas or functions
data visualization

Scenario 2 continued

As you’re reviewing the dataset, you notice that there are a disproportionate number of senior citizens. So, you investigate further and find out that this zip code represents a rural community in Colorado with about 800 residents. In addition, there’s a large assisted-living facility in the area. Nearly 300 of the residents in the 81137 zip code live in the facility.

You recognize that’s a sizable number, so you want to find out if age has an effect on a patient’s likelihood to attend a follow-up dental appointment. You analyze the data, and your analysis reveals that older people tend to miss follow-ups more than younger people.

So, you do some research online and discover that people over the age 60 are 50% more likely to miss dentist appointments. Sometimes this is because they’re on a fixed income. Also, many senior citizens lack transportation to get to and from appointments.

With this new knowledge, you write an email to your supervisor expressing your concerns about the dataset. He agrees with your concerns, but he’s also impressed with what you’ve learned and thinks your findings could be very important to the project. He asks you to change the business task. Now, the NDS campaign will be about educating dental offices on the challenges faced by senior citizens and finding ways to help them access quality dental care.

Fill in the blank: Changing the business task involves defining a new _____.

gap analysis plan
- graphical representation of the data

question or problem to be solved

data-cleaning strategy

Scenario 2 continued

You continue with your analysis. In the end, your findings support what you discovered during your online research: As people get older, they’re less likely to attend follow-up dental visits.

But you’re not done yet. You know that data should be combined with human insights in order to lead to true data-driven decision-making. So, your next step is to share this information with people who are familiar with the problem professionally. They’ll help verify the results of your data analysis.

Fill in the blank: The people who are familiar with a problem and help verify the results of data analysis are _____.

customers
- data scientists
- stakeholders

subject-matter experts

Scenario 2 continued

The subject-matter experts are impressed by your analysis. The team agrees to move to the next step: data visualization. You know it’s important that stakeholders at NDS can quickly and easily understand that older people are less likely to attend important follow-up dental appointments than younger people. This will help them create an effective campaign for members.

It’s time to create your presentation to stakeholders. It will include a data visualization that demonstrates the lifetime trend of people being less likely to attend follow-up appointments as they get older.

Why would a line chart be the most effective in representing this?

Line charts are effective in displaying points in series.

Line charts arrange data values into rows.
Line charts represent data values as proportionally sized wedges.
Line charts arrange data values into columns.

Scenario 1, question 1-5

You’ve just started a new job as a data analyst. You’re working for a midsized pharmacy chain with 38 stores in the American Southwest. Your supervisor shares a new data analysis project with you.She explains that the pharmacy is considering discontinuing a bubble bath product called Splashtastic. Your supervisor wants you to analyze sales data and determine what percentage of each store’s total daily sales come from that product. Then, you’ll present your findings to leadership.You know that it's important to follow each step of the data analysis process: ask, prepare, process, analyze, share, and act. So, you begin by defining the problem and making sure you fully understand stakeholder expectations.One of the questions you ask is where to find the dataset you’ll be working with. Your supervisor explains that the company database has all the information you need. Next, you continue to the prepare step. You access the database and write a query to retrieve data about Splashtastic. You notice that there are only 38 rows of data, representing the company’s 38 stores. In addition, your dataset contains five columns: Store Number, Average Daily Customers, Average Daily Splashtastic Sales (Units), Average Daily Splashtastic Sales (Dollars), and Average Total Daily Sales (All Products).

You know that spreadsheets work well for processing and analyzing a small dataset, like the one you’re using. To get the data from the database into a spreadsheet, what should you do?

Email a copy of the dataset to your company email address.
- Use Tableau to convert the data into a spreadsheet.

Download the data as a .CSV file, then import it into a spreadsheet.

Copy and paste the data into a spreadsheet.

Scenario 1 continued

Link to template: Course Challenge - Scenario 1

If you don’t have a Google account, you can download the template directly from the attachment below.

Course Challenge Dataset - Scenario 2

Sort the spreadsheet so the row with missing data is at the bottom.

Ask a colleague on your team how they've handled similar issues in the past.

Delete the row with the missing data point.

Replace the row with the average values of the other data points.

Scenario 1 continued

Once you’ve found the missing information, you analyze your dataset. During analysis, you create a new column F. At the top of the column, you add the attribute Average Percentage of Total Sales - Splashtastic.

Fill in the blank: An attribute is a _______ or quality of data used to label a column.

number
- headline
- response

characteristic

Scenario 1 continued

Next, you determine the average total daily sales over the past 12 months at all stores. The entire range of cells that contain these sales are E2:E39. Identify the correct way to write your function.

=AVERAGE(E2+E39)
- =AVERAGE(E2,E39)

=AVERAGE(E2:E39)

=AVERAGE(E2-E39)

Scenario 1 continued

You’ve reached the share phase of the data analysis process. It involves which of the following? Select all that apply.

Present your findings about Splashtastic to stakeholders.

Prepare a slideshow about Splashtastic’s sales and practice your presentation.

Create a data visualization to highlight the Splashtastic sales insights you've discovered.

Stop selling Splashtastic because it doesn't represent a large percentage of total sales.

Scenario 2, questions 6-10

The table is dental_data_table, and the column name is zip_code. You have written the following query, but received an error when it ran.

SELECT * FROM dental_data_table WHERE dental_data_table = 81137

Given the objective of the query, where is the mistake in this query?

SELECT, FROM, and WHERE should not be capitalized.
- In line 2, dental_data_table should be replaced with zip_code 81137.
- The third line should be WHERE = 81137

In line 3, dental_data_table should be replaced with zip_code.

Scenario 2 continued

Link to template: Course Challenge - Scenario 2

If you don’t have a Google account, you can download the template directly from the attachment below.

Course Challenge Dataset - Scenario 1 - Scenario 1_ Pharmacy Data - Part 1

The patient demographic information includes data such as age, gender, and home address. When examining the geographic data, you notice that all the patients live in the same zip code.

Fill in the blank: The fact that the dataset includes people who all live in the same zip code might get in the way of ______.

fairness

accuracy
spreadsheet formulas or functions
data visualization

Scenario 2 continued

The business task has changed. What is the nature of that change?

Creating a graphical representation of the data
- Using a database instead of a spreadsheet
- Conducting a gap analysis

Defining the new question or problem to be solved

Scenario 2 continued

You continue with your analysis. In the end, your findings support what you discovered during your online research: As people get older, they’re less likely to attend follow-up dental visits.

Fill in the blank: The people who are familiar with a problem and help verify the results of data analysis are _____.

stakeholders

subject-matter experts

customers
data scientists

Scenario 2 continued

Which type of chart will be most effective?

A doughnut chart
- A table
- A pie chart

A line chart

Scenario 1 continued

Link to template: Course Challenge - Scenario 1

If you don’t have a Google account, you can download the template directly from the attachment below.

Course Challenge Dataset - Scenario 2

Now, it’s time to process the data. As you know, this step involves finding and eliminating errors and inaccuracies that can get in the way of your results. While cleaning the data, you notice there’s missing data in one of the rows. What might you do to fix this problem? Select all that apply.

Ask a colleague on your team how they've handled similar issues in the past

Sort the spreadsheet so the row with missing data is at the bottom
- Delete the row with the missing data point

Ask you supervisor for guidance

Scenario 1 continued

Next, you determine the average total daily sales over the past 12 months at all stores. The entire range of cells that contain these sales are E2:E39. To do this, you use a function. You input =AVE(E2:E39), but this returns an error. What is the correct command?

=AVERAGE(E2:E39)

=AVERAGE(E2+E39)
=AVERAGE(E2,E29)
=AVERAGE(E2-E39)

Scenario 2, questions 6-10

The table is dental_data_table, and the column name is zip_code. You write the following query.

SELECT * FROM dental_data_table WHERE zip code = 81137

This query is incorrect. How could it be fixed?

In line 3, replace zip code with zip_code

Decapitalize SELECT, FROM, and WHERE
Rewrite line 3 as WHERE_zip code = 81137
Rewrite line 3 as zip_code = 81137

Scenario 2 continued

Link to template: Course Challenge - Scenario 2

If you don’t have a Google account, you can download the template directly from the attachment below.

Course 2 Scenario 1 Email from Supervisor.pdf

The patient demographic information includes data such as age, gender, and home address. You review the demographic data, paying particular attention to geography. What geographic aspect of the data may negatively impact fairness?

The patients all live in the same city.
- The patients all live in houses.
- The patients all live in the same country.

The patients all live in the same zip code.

Scenario 2 continued

You continue with your analysis. In the end, your findings support what you discovered during your online research: As people get older, they’re less likely to attend follow-up dental visits.

Fill in the blank: Subject matter experts are people who are familiar with a problem. They can help by identifying inconsistencies in the analysis, _____, and validating the choices being made.

redefining the business problem

offering insights into the business problem

creating a presentation with the data
collecting data relevant to the business problem

Scenario 2 continued

Fill in the blank: The type of chart that would be most effective in visualizing this is a _____.

bar chart
- pie chart
- doughnut chart

line chart

Course 2 – Ask Questions to Make Data-Driven Decisions

Week 1 – Effective questions

In structured thinking, why would a data analyst organize the available information?

To ask SMART questions

To recognize the current problem or situation

To summarize results using data visualizations
To consult with subject matter experts

A local internet service provider is expecting an increase in the number of people streaming online entertainment. Their data analyst uses data to estimate the required bandwidth necessary to service its customers. This is an example of which problem type?

Discovering connections
- Identifying themes

Making predictions

Spotting something unusual

Fill in the blank: The question, “How could we improve our website to simplify the returns process for our online customers?” is _____-oriented.

action

bias
passive
data

Structured thinking involves which of the following processes? Select all that apply.

Revealing gaps and opportunities
Recognizing the current problem or situation
Organizing available information
Asking SMART questions

A data analyst creates data visualizations and a slideshow. Which phase of the data analysis process does this describe?

Prepare
Act
Share
Process

A recycling center that sponsors a podcast about saving the environment is an example of what strategy?

Defining the problem to be solved
Making recommendations
Staying on budget
Trying to reach a target audience

A data analyst is working for a local power company. Recently, many new apartments have been built in the community, so the company wants to determine how much electricity it needs to produce for the new residents in the future. A data analyst uses data to help the company make a more informed forecast. This is an example of which problem type?

Spotting something unusual
Discovering connections
Making predictions
Identifying themes

Describe the key difference between the problem types of categorizing things and identifying themes.

Categorizing things involves determining how items are different from each other. Identifying themes brings different items back together in a single group.
Categorizing things involves assigning grades to items. Identifying themes involves creating new classifications for items.
Categorizing things involves taking inventory of items. Identifying themes deals with creating labels for items.
Categorizing things involves assigning items to categories. Identifying themes takes those categories a step further, grouping them into broader themes.

Which of the following examples are leading questions? Select all that apply.

What do you enjoy most about our service?
How did you learn about our company?
In what ways did our product meet your needs?
How satisfied were you with our customer representative?

The question, “Why don’t our employees complete their timesheets each Friday by noon?” is not action-oriented. Which of the following questions are action-oriented and more likely to lead to change? Select all that apply.

What functionalities would make our timesheet web page more user-friendly?
What features could we add to our calendar app as a weekly timesheet reminder to employees?
How could we simplify the time-keeping process for our employees?
Why don’t employees prioritize filling out their timesheets by noon on Fridays?

On a customer service questionnaire, a data analyst asks, “If you could contact our customer service department via chat, how much valuable time would that save you?” Why is this question unfair?

It is closed-ended
It uses slang words that not everyone can understand
It is vague
It makes assumptions

Shuffle Q/A

Organizing available information and revealing gaps and opportunities are part of what process?

Identifying connections between two or more things
Categorizing things
Using structured thinking
Applying the SMART methodology

The share phase of the data analysis process typically involves which of the following activities? Select all that apply.

Summarizing results using data visualizations
Communicating findings
Creating a slideshow to present to stakeholders
Putting analysis into action to solve a problem

A company wants to make more informed decisions regarding next year’s business strategy. An analyst uses data to help identify how things will likely work out in the future. This is an example of which problem type?

Making predictions
Spotting something unusual
Identifying themes
Discovering connections

Fill in the blank: Categorizing things involves assigning items to categories, whereas _____ takes those categories a step further, grouping them into broader classifications.

Making predictions
Finding patterns
Discovering connections
Identifying themes

Questions that make assumptions often involve concepts that are formed without evidence. An example of this is an idea that is accepted as true without proof.

True
False

A garden center wants to attract more customers. A data analyst in the marketing department suggests advertising in popular landscaping magazines. This is an example of what practice?

Reaching your target audience
Collecting customer information
Monitoring social media feedback
Developing a data analytics case study

Categorizing things involves assigning items to categories. Identifying themes takes those categories a step further, grouping them into broader themes or classifications.

True
False

Which of the following examples are closed-ended questions? Select all that apply.

Is math your favorite subject?
What grade did you get on the math test?
How old are you?
What are your thoughts about math?

The question, “How could we improve our website to simplify the returns process for our online customers?” is action-oriented.

True
False

Which of the following questions make assumptions? Select all that apply.

Keeping employees engaged is important, isn’t it?
Wouldn’t you agree that product A is better than product B?
Did you get through to customer service?
It must be frustrating waiting on hold for so long, right?

Structured thinking involves recognizing the current problem or situation you’re facing and identifying your options.

True
False

Which of the following examples are leading questions? Select all that apply.

How satisfied were you with our customer representative?
What do you enjoy most about our service?
In what ways did our product meet your needs?
How did you learn about our company?

On a customer service questionnaire, a data analyst asks, “If you could contact our customer service department via chat, how much valuable time would that save you?” Why is this question unfair?

It is closed-ended
It uses slang words that not everyone can understand
It is vague
It makes assumptions

Fill in the blank: To apply structured thinking, a data analyst should ______ the available information in order to reveal gaps and opportunities and recognize the current problem or situation.

organize
communicate
share
record

A national chain of sporting goods stores advertises during popular sporting television broadcasts. This is an example of the company doing what?

Reaching its target audience
Demonstrating its support for a sports team
Defining the problem to be solved
Monitoring social feedback

In data analysis, categorizing things involves which of the following?

Creating new classifications for items and assigning grades to items
Assigning items to categories
Taking an inventory of items
Determining how items are different from each other

The question, “Why was the Monday afternoon yoga class successful?” is not measurable. Which of the following questions presents a measurable way to learn about the yoga class?

Why do people like taking yoga classes on Mondays?
How many customers responded to our recent half-price yoga promotion?
Is yoga a great way to stretch and strengthen your body?
Do yoga instructors seem more energetic at the beginning of the week?

Why should a data analyst only ask fair questions?

Unfair questions do not have answers.
Unfair questions can provide data that is misleading.
Fair questions are biased.
Fair questions do not offend people.

In the share step of the data analysis process, a data analyst summarizes their results using data visualizations and creates a slideshow to present to stakeholders. What else might they do in this step?

Collect data.
Communicate findings.
Organize the available information
Shred paper files.

If a cooking supply store wants to attract more customers, where can they advertise to better reach their target audience? Select all that apply.

On TV during the season finale of The Best Chef in the Universe
At a bus stop near a local culinary school
On a podcast for foodies
In a magazine all about advertising

Making predictions is one of the six data analytics problem types. How does data factor into such problem types?

The data informs the predictions.
The data confirms the decisions.
The data are the predictions.
The predictions validate the data.

Which of the following examples are closed-ended questions? Select all that apply.

How tall are you?
What did you think about the article that I sent you?
What is your opinion of the new movie?
Have you taken this class before?

What is the defining characteristic of measurable questions?

They are questions that have numbers in them.
Their answers are numbers that can be interpreted qualitatively.
They are questions that use numbers as categories.
Their answers are numbers that can be interpreted mathematically.

Fill in the blank: “How many people filled out the survey?” is an example of a question that is _____ in the context of data analysis.

categorical
symbolic
measureable
qualitative

Week 2 – Data-driven decisions

An analyst is working with data from two school programs. They discover that the data is measured differently across programs and this may impact how they can work with the data. What does this example describe?

Data-inspired decision-making
- Data-driven decision-making

The limitations of working with data

Data that cannot be analyzed

A retail store runs a special sale with the goal of increasing sales over the holiday season. They use the increase in sales over the same month last year as a starting point. What type of goal is this an example of?

Metric goal

Theoretical goal
Finite goal
Conceptual goal

A data analyst assesses how well their company’s marketing campaign is performing. They apply a formula that compares the cost of the campaign and its net profit. What does this formula measure?

The return on investment

Total revenue
The average cost
Total cost

Which of the following statements describes an algorithm?

A process or set of rules to be followed for a specific task
A method for recognizing the current problem or situation and identifying the options
A tool that enables data analysts to spot something unusual
A technique for focusing on a single topic or a few closely related ideas

Fill in the blank: If a data analyst is measuring qualities and characteristics, they are considering _____ data.

quantitative
unbiased
cleaned
qualitative

In data analytics, reports use live, incoming data from multiple datasets; dashboards use static collections of data.

True
False

A pivot table is a data-summarization tool used in data processing. Which of the following tasks can pivot tables perform? Select all that apply.

Group data
Clean data
Calculate totals from data
Reorganize data

A metric is a single, quantifiable type of data that can be used for what task?

Setting and evaluating goals
Defining a problem type
Cleaning data
Sorting and filtering data

Which of the following options describes a metric goal? Select all that apply.

Evaluated using metrics
Indefinite
Measurable
Based on theory

Fill in the blank: Return on investment compares the _____ of an investment to the net profit gained from that investment.

success
purpose
cost
timing

Fill in the blank: A data analyst is using data to address a large-scale problem. This type of analysis would most likely require _____. Select all that apply.

small data
data that reflects change over time
data represented by a limited number of metrics
big data

Shuffle Q/A

Fill in the blank: In data analytics, qualitative data _____. Select all that apply.

is always time bound
measures qualities and characteristics
is subjective
measures numerical facts

Fill in the blank: A _____ is a data-summarization tool used to sort, reorganize, group, count, total, or average data.

report
dashboard
function
pivot table

Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.

metric
finite
conceptual
benchmark

Describe the main differences between big and small data.

Small data is typically stored and organized in databases. Big data is typically stored and organized in spreadsheets.
Small data is less useful to data analysts. Big data is more useful to data analysts.
Small data is specific and concerns a short time period. Big data is less specific and concerns a longer time period.
Small data has been cleaned and sorted. Big data has not yet been cleaned or sorted.

In data analytics, a pattern is defined as a process or set of rules to be followed for a specific task.

True
False

In data analytics, quantitative data measures qualities and characteristics.

True
False

In data analytics, reports use data that doesn’t change once it’s been recorded. Which of the following terms describes this type of data?

Comprehensive
Real-time
Monitored
Static

Which data-summarization tool do data analysts use to sort, reorganize, group, count, total, or average data?

A function
A pivot table
A dashboard
A report

A metric is a specific type of data that companies use to identify a problem domain.

True
False

Fill in the blank: A metric goal is a _____ goal set by a company that is evaluated using metrics.

finite
theoretical
conceptual
measurable

A data analyst is using data from a short time period to solve a problem related to someone’s day-to-day decisions. They are most likely working with small data.

True
False

If a data analyst compares the cost of an investment to the net profit of that investment over a period of time, they’re analyzing the investment scope.

True
False

What is an example of using a metric? Select all that apply.

Using column headers to sort and filter data
Using annual profit targets to set and evaluate goals
Using key performance indicators, such as click-through rates, to measure revenue
Using a pie chart to visualize data

Fill in the blank: In data analytics, a process or set of rules to be followed for a specific task is _____.

a pattern
a domain
an algorithm
a value

Fill in the blank: Return on investment compares the cost of an investment to the _____ of that investment.

purpose
timing
net profit
future success

Week 3 – More spreadsheet basics

What calculations can you carry out within a spreadsheet? Select all that apply.

Minimum

Maximum

Copying

Average

What are some of the ways that data analysts can gather data? Select all that apply.

Use data received from a colleague

Use data they collect themselves

Use data from open source locations

Use restricted data from the government

You sum the entries in cells F3 through F200 in your spreadsheet. What is the correct function for this?

=SUM(F3+F200)
- =SUM(F3;F200)
- =SUM(F3,F200)

=SUM(F3:F200)

What are some of the causes of bias in data analytics? Select all that apply.

Cultural differences

Social norms

Multiple perspectives

Serving an agenda

Fill in the blank: In spreadsheets, data analysts begin _____ with an equal sign (=).

cells
numbers
formulas
charts

Fill in the blank: The labels that describe the type of data contained in each column of a spreadsheet are called _____.

assignments
attributes
allowances
aspects

Which of the following tasks might be performed using spreadsheets?

Maintain information about accounts
Write a sales pitch
Develop communication skills
Land a new client

Formulas are created by the user, whereas functions are preset commands in spreadsheets.

True
False

In the function =MAX(B5:B15), what does B5:B15 represent?

Observation
Column
Attribute
Range

What is the correct spreadsheet formula for multiplying cell H2 times cell H5?

=H2/H5
=H2^H5
=H2*H5
=H2xH5

To avoid bias when collecting data, a data analyst should keep what in mind?

Context
Opinion
Stakeholders
Graphs

A data analyst might use descriptive column headers in order to achieve what goal?

Add context to their data
Protect the spreadsheet
Alphabetize the spreadsheet data
Filter the data

Shuffle Q/A

To determine an organization’s annual budget, a data analyst might use a slideshow.

True
False

Which of the following are ways that data analysts can add context to their data? Select all that apply.

Use descriptive column headers
Consider where the data came from
Create reports for stakeholders
Ask questions about the data

In spreadsheets, formulas and functions end with an equal sign (=).

True
False

A data analyst could use spreadsheets to achieve which of the following tasks?

Motivate employees
Write reports
Build code for a new app
Predict next quarter’s sales

In the function =MAX(G3:G13), what does G3:G13 represent?

an attribute
an observation
The range
a table

What is the correct spreadsheet formula for multiplying cell D5 times cell D7?

=D5xD7
=D5^D7
=D5*D7
=D5/D7

Fill in the blank: A data analyst considers which organization created, collected, or funded a dataset in order to understand its _____.

structure
detail
length
context

Which of the following statements accurately describe formulas and functions? Select all that apply.

Formulas are instructions that perform specific calculations.
Formulas may only be used once per spreadsheet column.
Functions are preset commands that perform calculations.
Formulas and functions assist data analysts in calculations, both simple and complex.

In the function =MAX(B5:B15), what does B5:B15 represent?

Attribute
Column
Observation
Range

What is the correct spreadsheet formula for multiplying cell H2 times cell H5?

=H2*H5
=H2/H5
=H2xH5
=H2^H5

Both formulas and functions in spreadsheets begin with what symbol?

Equal sign (=)
Colon (:)
Hyphen (-)
Bracket ([)

Fill in the blank: By negatively influencing data collection, ____ can have a detrimental effect on analysis.

objectivity
bias
partiality
filtering

Attributes are used in spreadsheets for what purpose?

Analyze the data in a row
Insert data into each column
Add a new column
Label the data in each column

To determine an organization’s annual budget, a data analyst might use a slideshow.

True
False

Which of the following statements describes a key difference between formulas and functions?

Formulas contain words and numbers, and functions contain numbers only.
Formulas span two or more cells, and functions exist in only one cell.
Formulas are used in graphs, and functions are not.
Formulas are written by the user, and functions are already defined.

What do data analysts use to label the type of data contained in each column in a spreadsheet?

Tables
Menus
Attributes
Headings

In the function =MAX(A1:A12), what does A1:A12 represent?

The range
The operator
The maximum
The formula

Fill in the blank: Putting data into context helps data analysts eliminate _____.

labels
intolerance
bias
fairness

Week 4 – Always remember the stakeholder

Fill in the blank: Your data analytics team is working on a project for the marketing department. The person most likely to be the _____ stakeholder is the vice president of marketing.

primary

necessary
secondary
project

To communicate clearly with stakeholders and team members, there are four key questions data analysts ask themselves. One of the questions is: What does my audience already know? Identify the remaining three questions. Select all that apply.

What does my audience need to know?

How can I communicate effectively to my audience?

Why are stakeholders and team members important?

Who is my audience?

You accept a new project from a high level stakeholder. After beginning the project, you find that you aren’t sure what you are supposed to do. How do you handle this?

Determine the objectives that make the most sense and work towards those.

Set up a meeting with the stakeholder to discuss the specific objectives they wanted.

Ask a member of your team what was done on the last project and do the same.
Perform the standard analysis and present its insights.

A data analyst collects a large amount of data for their project to ensure that the data represents a diverse set of perspectives. What element of data collection does this describe?

Sample size

Statistical significance
Visualization
Data cleaning

When leading a meeting, it is important to respect your team members’ time. What are some ways of doing this? Select all that apply.

Pay attention to what others are saying

Arrive to the meeting on time

Discuss work that does not impact the attendees.

Be prepared to talk about your work

What are some of the “don’ts” when attending a meeting?

Don't dominate the conversation.

Don't show up unprepared.

Don’t arrive late.

Don’t arrive early.

Your manager assigns you a project task, and you don’t understand the point of the project. What questions can you ask them to determine the objective? Select all that apply.

What is their end goal?

What do you have to do for this task?
- What is the story they want to tell?

What is the big picture?

A data analyst starts a new project for the operations team at their company. They take a few hours at the beginning of the project to identify their stakeholders. The secondary stakeholders are most likely which of the following people? Select all that apply.

The data analyst
The project manager
The president of the company
The vice president of operations

A data analyst is researching the buying behavior of people who shop at a company’s retail store and those who might shop there in the future. During the analysis, it will be important to stay in communication with the people who most often interact with these shoppers. They are members of the executive team.

True
False

There are four key questions data analysts ask themselves: Who is my audience? What do they already know? What do they need to know? And how can I communicate effectively with them? These questions enable data analysts to achieve what goal?

Understand who is managing the data
Communicate clearly with stakeholders and team members
Identify primary and secondary stakeholders
Complete data analysis projects on time

Data analysts pay attention to sample size in order to achieve what goals? Select all that apply.

To fully understand the scope of the analytics project
To avoid a small sample size leading to inaccurate judgements
To make sure the data represents a diverse set of perspectives
To make sure a few unusual responses don’t skew results

A data analyst receives an email from the vice president of marketing. The vice president is upset because the report they want from the analyst is late. Select the best course of action.

The analyst should call the vice president and ask them how important it really is to their marketing efforts.
The analyst should send the report immediately, even if it’s not completely finished. This will make the vice president happy.
The analyst should respond saying they understand the vice president’s concerns, provide a status update, and let the vice president know when to expect the completed report.
The analyst should apologize for the delay and inform the vice president that the marketing managers caused the delay.

Arriving at meetings prepared is an important part of creating a professional work environment. This involves which of the following actions? Select all that apply.

Bringing materials to take notes with
Considering what questions you may be asked so you’re prepared to answer
Reading the meeting agenda ahead of time
Bringing a laptop to keep an eye on emails

A data analyst joins an online meeting on time. After reviewing the agenda, they see that their project comes at the very end. They’re extremely busy and can use this time to stay on top of their current projects. How should they proceed?

Mute themselves and turn off the camera, then continue working on other tasks until their project is mentioned.
Tell the participants that they’re having technical trouble, then leave the meeting to continue working on other tasks.
Politely let the presenter know they’re going to leave the meeting and rejoin toward the end.
Stay focused and attentive during the entire meeting. Even though some items on the agenda don’t affect their projects, they could still learn something or have something to contribute.

Your data analytics team has been working on a project for a few weeks. You’re almost done, when your supervisor suddenly changes the business task. Everyone has to start all over again. You announce to the team that you’re going to say something to the supervisor about how unreasonable this is. What’s the best next step?

Insist that the entire data analytics team complain to your supervisor.
Go see your supervisor face-to-face and tell them why you’re so upset.
Write a polite, but strongly worded email to your supervisor.
Take a few minutes to calm down, then ask your colleagues to share their perspectives so you can work together to determine the best next step.

Shuffle Q/A

A data analyst is researching the buying behavior of people who shop at a company’s retail store and those who might shop there in the future. During the analysis, it will be important to stay in communication with the team that most often interacts with these shoppers. What is the name of this team?

Data science team
Project management team
Executive team
Customer-facing team

You receive an angry email from a colleague on the marketing team. The marketing colleague believes you have taken credit for their work. You do not believe this is true. Select the best course of action.

Delete the email. It’s best not to create any additional conflict.
Reply to the email, asking if they can schedule a time to talk about this in person in order to allow both of you to share your perspectives.
Walk over to the marketing colleague’s cubicle, and tell them you strongly disagree.
Forward the email to the marketing director with an equally angry note.

A data analyst has been invited to a meeting. They review the agenda and notice that their data analysis project is one of the topics that will be discussed. How can they prepare for an effective meeting? Select all that apply.

Bring materials for taking notes.
Plan to arrive on time.
Think about what project updates they should share.
Create and share a revised agenda that includes many more details about their project.

Which of the following steps are key to leading a professional online meeting? Select all that apply.

Maintaining control of the meeting by keeping everyone else on mute.
Sitting in a quiet area that’s free of distractions
Making sure your technology is working properly before starting the meeting
Keeping an eye on your inbox during the meeting in case of an important email

A team member has asked you to take on a task, and you don’t understand the point of the project. It seems like it will be a waste of your time. The best course of action would be to politely explain your concerns and decline the project.

True
False

Fill in the blank: A data analytics team is working on a project to measure the success of a company’s new financial strategy. The vice president of finance is most likely to be the _____.

project manager
analyst
primary stakeholder
secondary stakeholder

At an online marketplace, the _____ includes anyone in an organization who interacts with current or potential shoppers.

executive team
data science team
project management team
customer-facing team

There are four key questions data analysts ask themselves: Who is my audience? What do they already know? What do they need to know? And how can I communicate effectively with them? These questions enable data analysts to identify the person in charge of managing the data.

True
False

A data analyst has been invited to a meeting. They review the agenda and notice that their data analysis project is one of the topics that will be discussed. They plan to arrive on time and have a pen and paper to take notes. But they do not spend time considering project updates they could share or questions they may be asked. This is appropriate because they’re not the one running the meeting.

True
False

A data analytics team is working on a project to measure the success of a company’s new financial strategy. Select the person most likely to be the primary stakeholder for this project.

The project manager
The data analyst
The vice president of finance
The director of analytics

To communicate clearly with stakeholders and team members, there are four key questions data analysts ask themselves. One of them is: What does my audience need to know? Identify the remaining three questions. Select all that apply.

Why are stakeholders and team members important?
Who is my audience?
How can I communicate effectively to my audience?
What does my audience already know?

Conflict is a natural part of working on a team. What are some ways to help shift a situation from problematic to productive? Select all that apply.

Take a moment to check your emotions before engaging in an argument.
Ask for a conversation to help you better understand the big picture.
Reframe the question by asking, “How can I help?”
Identify the person who caused the issue so they can take responsibility.

Data analysts focus on statistical significance to make sure they have enough data so that a few unusual responses don’t skew results

True
False

A data analyst feels overworked. They often stay late to finish work, and have started missing deadlines. Their supervisor emails them another project to complete, and this causes the analyst even more stress. How should they handle this situation?

Accept the new project right away and hope to not miss another deadline.
Wait a few minutes to think it over, then respond with a meeting request to discuss this project and the general workload.
Walk into the supervisor’s office and tell them to give the project to someone else.
Respond immediately, letting the supervisor know the expectations at this company are unreasonable.

When participating in an online meeting, it’s okay to keep your inbox open in another browser window. Participants won’t be distracted because they can’t see it, and you might receive a very important message.

True
False

Course challenge

Scenario 1, questions 1-5

You’ve just started a job as a data analyst at a small software company that provides data analytics and business intelligence solutions. Your supervisor asks you to kick off a project with a new client, Athena’s Story, a feminist bookstore. They have four existing locations, and the fifth shop has just opened in your community.

Athena’s Story wants to produce a campaign to generate excitement for an upcoming celebration and introduce the bookstore to the community. They share some data with your team to help make the event as successful as possible.

Your task is to review the assignment and the available data, then present your approach to your supervisor. Click the link below to access the email from your supervisor:

Then, review the email, and the Customer Survey and Historical Sales datasets.

To use the templates for the datasets, click the links below and select “Use Template.”

Links to templates: Customer Survey and Historical Sales

If you don't have a Google account, you can download the CSV files directly from the attachments below.

HistoricalSales - HistoricalSales

After reading the email, you notice that the acronym WHM appears in multiple places. You look it up online, and the most common result is web host manager. That doesn’t seem right to you, as it doesn’t fit the context of a feminist bookstore. Still, you should assume it’s correct and continue with the project.

True

False

Scenario 1 continued

Now that you know WHM stands for Women’s History Month, you continue reviewing the datasets. You notice that the Customer Survey dataset contains both qualitative and quantitative data.

To use the template for the dataset, click the link below and select “Use Template.”

Link to template: Customer Survey

If you don't have a Google account, you can download the CSV file directly from the attachment below.

The qualitative data includes information from which columns? Select all that apply.

Column E (Survey Q5: What do you like most about Athena's Story?)

Column B (Survey Q2: If answered "Yes" to Q1, how do you plan to celebrate?)

Column D (Survey Q4: If answered "Yes" to Q3, how many books do you typically purchase during March?)

Column F (Survey Q6: What types of books would you like to see more of at Athena's Story?)

Scenario 1 continued

Next, you review the customer feedback in column F of the Customer Survey dataset.

To use the template for the dataset, click the link below and select “Use Template.”

Link to template: Customer Survey

If you don't have a Google account, you can download the CSV file directly from the attachment below.

HistoricalSales - HistoricalSales

The attribute of column F is, “Survey Q6: What types of books would you like to see more of at Athena's Story?” In order to verify that children’s literature and feminist zines are among the most popular genres, you create a visualization. This will help you clearly identify which genres are most likely to sell well during the Women’s History Month campaign.

Your visualization looks like this:

Pie chart categories: -Feminist science fiction 4.8% -Books about women 2.4% -Women's journals 2.4% -Feminist literary criticism 2.4% -Children's literature 15.5% -Women's history books 2.4% -Biographies of inspiration 20.2% -Feminist fiction 26.2% -Feminist zines 14.3% -Feminist poetry 4.6% -Feminist novels 3.6%

Pie chart categories: Feminist science fiction 4.8% Books about women 2.4% Women's journals 2.4% Feminist literary criticism 2.4% Children's literature 15.5% Women's history books 2.4% Biographies of inspiration 20.2% Feminist fiction 26.2% Feminist zines 14.3% Feminist poetry 4.6% Feminist novels 3.6%

Fill in the blank: The visualization you create demonstrates the percentages of each book genre that make up the total number of survey responses. It’s called a _____ chart.

bubble

doughnut
area

Now that you’ve confirmed that children’s literature and feminist zines are among the most requested book genres, you review the Historical Sales dataset.

To use the template for the dataset, click the link below and select “Use Template.”

Link to template: Historical Sales

If you don't have a Google account, you can download the CSV file directly from the attachment below.

Junior Data Analyst Job Description.pdf

You’re pleased to see that the dataset contains data that’s specific to children’s literature and feminist zines. This will provide you with the information you need to make data-inspired decisions. In addition, the children’s literature and feminist zines metrics will help you organize and analyze the data about each genre in order to determine if they’re likely to be profitable.

Next, you calculate the total sales over 52 weeks for feminist zines. You type =CALCULATE(E2-E53) but get an error. What is the correct syntax?

=MAX(E2:E53)
- =COUNT(E2:E53)

=SUM(E2:E53)

=CALC(E2:E53)

Scenario 1 continued

After familiarizing yourself with the project and available data, you present your approach to your supervisor. You provide a scope of work, which includes important details, a schedule, and information on how you plan to prepare and validate the data. You also share some of your initial results and the pie chart you created.

In addition, you identify the problem type, or domain, for the data analysis project. You decide that the historical sales data can be used to provide insights into the types of books that will sell best during Women’s History Month this coming year. This will also enable you to determine if Athena’s Story should begin selling more children’s literature and feminist zines.

Using historical data to make informed decisions about how things may be in the future is an example of spotting something unusual.

True

False

Scenario 2, questions 6-10

You’ve completed this program and are now interviewing for your first junior data analyst position. You’re hoping to be hired by an event planning company, Patel Events Plus. Access the job description below:

Human Resources Director Email.pdf

So far, you’ve successfully completed the first round of interviews with the human resources manager and director of data and strategy. Now, the vice president of data and strategy wants to learn more about your approach to managing projects and clients. Access the email you receive from the human resources director below:

Patel Event Plus Org Chart.pdf

You arrive Thursday at 1:45 PM for your 2 PM interview. Soon, you’re taken into the office of Mila Aronowicz, vice president of data and strategy. After welcoming you, she begins the behavioral interview.

First, she hands you a copy of Patel Events Plus’s organizational chart. Access the chart below:

Patel Events Plus dataset

As you’ve learned in this course, stakeholders are people who invest time, interest, and resources into the projects you’ll be working on as a data analyst. Let’s say you’re working on a project involving data and strategy.

Based on what you find in the organizational chart, who should be considered the primary stakeholder for projects involving data and strategy?

Director
- Project manager
- Chief executive officer

Vice president

Scenario 2 continued

Next, the vice president wants to understand your knowledge about asking effective questions. Consider and respond to the following question. Select all that apply.

Let’s say we just completed a big event for a client and wanted to find out if they were satisfied with their experience. Provide some examples of measurable questions that you could include in the customer feedback survey. Select all that apply.

Would you recommend Patel Events Plus to a colleague or friend? Yes or no?

Why did you enjoy the event planned by Patel Events Plus?

On a scale from 1 to 5, with 1 being not at all likely and 5 being very likely, how likely are you to recommend Patel Events Plus?

How would you describe your event experience?

Scenario 2 continued

Now, the vice president presents a situation having to do with resolving challenges and meeting stakeholder expectations. Consider and respond to the following question.

You’re working on a rush project, and you discover your dataset is not clean. Even though it has numerous nulls, redundant data, and other issues, the primary stakeholder insists that you move ahead and use it anyway. The project timeline is so tight that there simply isn’t enough time for cleaning. How would you handle that situation?

Contact the stakeholder’s boss to let them know about the issue and ask for help managing the stakeholder’s expectations.
- The stakeholder is in charge. It's best to do as they say and use the unclean dataset.
- Clean the data as quickly as you can. It’s not perfect, but it’s better than it was before, and this way you can meet the deadline.

Communicate the situation to your supervisor and ask for advice on how to handle the situation with the stakeholder.

Scenario 2 continued

Your next interview question deals with sharing information with stakeholders. Consider and respond to the following question. Select all that apply.

Let’s say you’ve designed a dashboard to give stakeholders easy, automatic access to data about an upcoming event. Describe the benefits of using a dashboard. Select all that apply.

Dashboards offer live monitoring of incoming data.

Dashboards enable stakeholders to interact with the data.

Dashboards are easy to design and understand.
Dashboards present pre-cleaned, historical data.

Scenario 2 continued

Your final behavioral interview question involves using metrics to answer business questions. Your interviewer hands you a copy of a Patel Events dataset.

To use the template for this dataset, click the link below and select “Use Template.”

Link to template: Patel Events Data

If you don't have a Google account, you can download the CSV file directly from the attachment below.

Course 2 Scenario 1 Email from Supervisor.pdf

Then, she asks: Recently, Patel Events Plus purchased a new venue for our events. If we asked you to calculate the return on investment of this purchase, the metrics to consider would be the cost of the investment and what else?

Net profit in 2019

Average event revenues
2019 events held at new venue
Purchase date

Scenario 1, questions 1-5

Your task is to review the assignment and the available data, then present your approach to your supervisor. Click the link below to access the email from your supervisor:

Then, review the email, and the Customer Survey and Historical Sales datasets.

To use the templates for the datasets, click the links below and select “Use Template.”

Links to templates: Customer Survey and Historical Sales

If you don't have a Google account, you can download the CSV files directly from the attachments below.

HistoricalSales - HistoricalSales

After reading the email, you notice that the acronym WHM appears in multiple places. You look it up online, and the most common result is web host manager. That doesn’t seem right to you, as it doesn’t fit the context of a feminist bookstore. You email your supervisor to ask. When writing your email, what do you do to ensure it sounds professional? Select all that apply.

Respect your supervisor’s time by writing an email that’s short and to the point.

Use a polite greeting and closing.

Read your email aloud before sending to catch any typos or grammatical errors and to ensure the communication is clear.

Write a clear subject line that gets a fast response so you can keep working: “WHM? NEED TO KNOW WHAT THAT IS RIGHT AWAY.”

Scenario 1 continued

Now that you know WHM stands for Women’s History Month, you continue reviewing the datasets. You notice that the Customer Survey dataset contains both qualitative and quantitative data.

To use the template for the dataset, click the link below and select “Use Template.”

Link to template: Customer Survey

If you don't have a Google account, you can download the CSV file directly from the attachment below.

Junior Data Analyst Job Description.pdf

The quantitative data includes information from which columns? Select all that apply.

Column D (Survey Q4: If answered "Yes" to Q3, how many books do you typically purchase during March?)

Column C (Survey Q3: Do you purchase feminist books in honor of WHM, either for yourself or as a gift for someone else?)

Column E (Survey Q5: What do you like most about Athena's Story?)

Column A (Survey Q1: Do you plan to celebrate WHM?)

Scenario 2, questions 6-10

Human Resources Director Email.pdf