WGU D204: The Data Analytics Journey Exam Questions with Correct Answers 100% Verified
By Experts| Latest Update Guaranteed Success
________________ will show either positive or negative, null, which is . There's ___________,
which could positive and/or negative, and you've got exponential correlations. For this we'll just
simply use a ____________. Correlation
Linear
scatter plot
_____________ is basically just a bar chart showing all the tasks in your plan drawn along a
timeline. They are great because everything's drawn out to scale. Gantt chart
_____________________ are best answered looking at historical data are usually displayed in
dashboards of things that sort and who used to inform of trends and observations that have
happened in the past. Descriptive questions
The _____________________ are those questions that we're seeking some sort of prediction or
forecast in the prescriptive bucket. predictive questions
If I want to know the rule of _________________, I will research and review court decisions.
negligence
______________________ which is about our responsibility to be careful in everything we do
from driving a car to hiring employees to managing data is sourced in ___________________.
Negligence law
common law
Avoid ________________ which is when new requirements are added to the project that
increases the time/resources needed to complete it scope creep
,____________________ is someone who developes, architects; focus on hardware and
software that enable data science Engineer
____________________ is someone who is the pro in CS and math; deep learning, artificial
intelligence Machine Learning Specialist
_______________ is someone who is the subject matter expert, high statistical expertise
Researcher
_____________ focuses on web analytics, SQL, visualizations Analyst
___________ is someone who does everything.
Very rare and very expensive; dangerous to rely on one person The "Unicorn"
The goal is to create a "unicorn" by ______________________ having the right team
Built on top of Matplotlib are some wrappers called _____________ and _____________.
_______________ is great for data structures and as a data analysis tool, which is used a lot
with other libraries as well. _______________, well, it makes things sexy. It's awesome because
it has built-in themes and color palettes, which can make your life really easy down the road.
Pandas
Seaborn
Pandas
Seaborn
,__________'s purpose is to create professional-looking plots quickly with minimal code. It
doesn't pride itself by being the most robust with options and all the bells and whistles, but its
ability to show you what you need, when you need it, with ease is its greatest feature.
GGplot
___________ creates charts that are interactive SVGs with very minimal lines of code. Pygal
________________ is a Python toolbox for geographic visualizations. It's prime usage is for
maps; therefore, it is quite powerful. Geoplotlib
Congress passed _______________________________ to regulate how employers and
insurance companies can, if at all, access our genetic information for purposes of making
decisions about whether we're employable or whether we're insurable. The Genetic
Information Nondiscrimination Act, otherwise known as GINA,
____________________ will work with marketing to put the most profitable advertising on the
articles shared by the readers. They are a key part of making sure that the organization gets
value from the team's discoveries. Project manager
_______________________ are responsible for trying to convince the department to give the
data science team access to data. They also work to distribute any results. They'll go to the
meetings and present the team's results. Project managers
The final goal for ___________________ is to enforce learning. project manager
You need _________________________ who are highly invested in the project and have
considerable stakes in the project's success. project stakeholders
If the total time runs out on your project, as being too long to be acceptable, which is known as
_______________________________. crashing your project plan
, 12-step process for projects Planning
1. Define what project is
2. List all tasks
3. Get tasks into order
4. Add a safety margin
5. What you can do if the total time runs out
6. Gantt chart
7. Look at resources.
8. Think about what might go wrong
9. Monitor the progress during your project
10. Monitoring the cost
11. Readjust plan if necessary
12. Project review
Data scientists are able to find ______, _________, and _____ in unstructured data. order,
meaning, and value
What is involved in the planning phase? 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
What is involved in the wrangling phase? 5. Get data
6. Clean data
7. Explore data
8. Refine data
By Experts| Latest Update Guaranteed Success
________________ will show either positive or negative, null, which is . There's ___________,
which could positive and/or negative, and you've got exponential correlations. For this we'll just
simply use a ____________. Correlation
Linear
scatter plot
_____________ is basically just a bar chart showing all the tasks in your plan drawn along a
timeline. They are great because everything's drawn out to scale. Gantt chart
_____________________ are best answered looking at historical data are usually displayed in
dashboards of things that sort and who used to inform of trends and observations that have
happened in the past. Descriptive questions
The _____________________ are those questions that we're seeking some sort of prediction or
forecast in the prescriptive bucket. predictive questions
If I want to know the rule of _________________, I will research and review court decisions.
negligence
______________________ which is about our responsibility to be careful in everything we do
from driving a car to hiring employees to managing data is sourced in ___________________.
Negligence law
common law
Avoid ________________ which is when new requirements are added to the project that
increases the time/resources needed to complete it scope creep
,____________________ is someone who developes, architects; focus on hardware and
software that enable data science Engineer
____________________ is someone who is the pro in CS and math; deep learning, artificial
intelligence Machine Learning Specialist
_______________ is someone who is the subject matter expert, high statistical expertise
Researcher
_____________ focuses on web analytics, SQL, visualizations Analyst
___________ is someone who does everything.
Very rare and very expensive; dangerous to rely on one person The "Unicorn"
The goal is to create a "unicorn" by ______________________ having the right team
Built on top of Matplotlib are some wrappers called _____________ and _____________.
_______________ is great for data structures and as a data analysis tool, which is used a lot
with other libraries as well. _______________, well, it makes things sexy. It's awesome because
it has built-in themes and color palettes, which can make your life really easy down the road.
Pandas
Seaborn
Pandas
Seaborn
,__________'s purpose is to create professional-looking plots quickly with minimal code. It
doesn't pride itself by being the most robust with options and all the bells and whistles, but its
ability to show you what you need, when you need it, with ease is its greatest feature.
GGplot
___________ creates charts that are interactive SVGs with very minimal lines of code. Pygal
________________ is a Python toolbox for geographic visualizations. It's prime usage is for
maps; therefore, it is quite powerful. Geoplotlib
Congress passed _______________________________ to regulate how employers and
insurance companies can, if at all, access our genetic information for purposes of making
decisions about whether we're employable or whether we're insurable. The Genetic
Information Nondiscrimination Act, otherwise known as GINA,
____________________ will work with marketing to put the most profitable advertising on the
articles shared by the readers. They are a key part of making sure that the organization gets
value from the team's discoveries. Project manager
_______________________ are responsible for trying to convince the department to give the
data science team access to data. They also work to distribute any results. They'll go to the
meetings and present the team's results. Project managers
The final goal for ___________________ is to enforce learning. project manager
You need _________________________ who are highly invested in the project and have
considerable stakes in the project's success. project stakeholders
If the total time runs out on your project, as being too long to be acceptable, which is known as
_______________________________. crashing your project plan
, 12-step process for projects Planning
1. Define what project is
2. List all tasks
3. Get tasks into order
4. Add a safety margin
5. What you can do if the total time runs out
6. Gantt chart
7. Look at resources.
8. Think about what might go wrong
9. Monitor the progress during your project
10. Monitoring the cost
11. Readjust plan if necessary
12. Project review
Data scientists are able to find ______, _________, and _____ in unstructured data. order,
meaning, and value
What is involved in the planning phase? 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project
What is involved in the wrangling phase? 5. Get data
6. Clean data
7. Explore data
8. Refine data
