WGU D204: The Data Analytics Journey
(Answered) Verified Solution 2024 100%
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
What is involved in the Modeling phase?
9. Create model
10. Validate model
11. Evaluate model
12. Refine model
What is involved in the Applying phase?
13. Present model
14. Deploy model
15. Revisit model
16. Archive assets
____________________ are programming languages that are very frequently used
for data manipulation and modeling.
Python or R
___________ are general-purpose languages that are used for the back end, the
foundational elementsterm-26 of data science, and they provide maximum speed.
C, and C++, and Java
____________________ is a language for working with relational databases to do
queries and data manipulation.
SQL
What does SQL stand for?
structured query language
This is where you actually create the statistical model and you do the linear
regression. You do the decision tree. You do the deep learning neural network.
Modeling
These are the developers, and the system architects, the people who focus on the
hardware and the software that make data science possible
Data engineers
This is the phase of collecting data.
Data acquisition
,Which phase? - Working with stakeholders to help them ask better questions so
that both they and you understand the outcome.
Discovery
What are the 4 parts of data analytics cycle?
Planning, Wrangling, Modeling and Applying
This phase is also known as the discovery phase. During this phase, an analyst
defines the major questions of interest that need to be answered, understand the
needs of the stakeholders, and assess the resource constraints in the project.
Business understanding
____________________ is the person who champions the vision of the project
and has the authority to allocate resources.
The project sponsor
__________________ is responsible for making sure things get done on time and
within budget and removes roadblocks.
Project manager
___________ is when new requirements are added to the project that increases
the time/resources needed to complete it.
Scope creep
What are the 3 types of analysis?
Descriptive, Predictive, Prescriptive
___________________________ describes the data that is present. Mean, Median,
Mode, counting things. How many of each size and color of shirt were sold in the
last month? Do we sell more shirts in the summer vs winter?
Descriptive analysis
____________________ makes predictions about future state of business.
Forecasting volumes for example. Based on last summer and winter, what will we
sell next year?
Predictive analytics
_______________________ analysis with an end goal of making a
recommendation. What colors and sizes of shirts should we sell to maximize
profits?
Prescriptive analytics
______________________ is just looking at any variable over time
Time series analysis
____________________ is a programing language that is specific to statistics. It
also has capabilities to visualize data.
R
_______________ is a multipurpose programing language that has libraries that
extend its capabilities to do statistical analysis.
Python
______________________ are platforms that specialize in visualization. This is
where you can make graphs and charts for presentations and data storytelling to
executive leaders.
Tableau and Power BI
_______________________ are instant messaging platforms that facilitate in a
faster, but less formal, way than email.
, Teams, Slack
An European union law regulating their citizens must have informed consent and
ability to request or delete their own data that you collect.
GDPR
When the researching organization consciously ignores data that calls their
results into question or only presents one side of the results that puts them in a
positive light.
Conflict of interest
Sometimes data might not be available and the analyst will use tools such as web
scraping or surveys to acquire it during which phase?
Data aquisition
The ____________ states that the sampling distribution of the sample means
approaches a normal distribution as the sample size gets larger (if you were to
take 50 people out of that population and get the mean, then take another 50
random people and get their mean age, and so forth, all of those means would
follow the normal distribution (bell curve)).
Central Limit Theorem
In this phase, the analyst begins to understand the basic nature of data and the
relationships within it. This phase often relies on the use of data visualization
tools and numerical summaries, such as measures of central tendency and
variability.
Data Exploration
__________________ enables an analyst to move beyond describing the data to
creating models that enable predicting outcomes of interest.
Predictive Modeling
Tools such as _______________ play an important role in automating the training
and using of models.
Python and R
In this phase, an analyst tells the story of the data and uses graphs or interactive
dashboards to inform others of the findings from the analyses.
Reporting and Visualization
Even if you have a wide spread of a variable, let's say, age in a population, and
you take lots of sample groups, the mean age of those sample groups would tend
to have a normal distribution.
Central Limit theorem
This is the phase of collecting data. Frequently, data will be retrieved from a
database, perhaps a component of a data warehouse, by using a language like
SQL.
Data Acquisition
"Collect the data" is synonymous with ____________________
data acquisition
Exploring the data could be seen either in "________________" or
"_____________"
Prepare the data
Create a model
(Answered) Verified Solution 2024 100%
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
What is involved in the Modeling phase?
9. Create model
10. Validate model
11. Evaluate model
12. Refine model
What is involved in the Applying phase?
13. Present model
14. Deploy model
15. Revisit model
16. Archive assets
____________________ are programming languages that are very frequently used
for data manipulation and modeling.
Python or R
___________ are general-purpose languages that are used for the back end, the
foundational elementsterm-26 of data science, and they provide maximum speed.
C, and C++, and Java
____________________ is a language for working with relational databases to do
queries and data manipulation.
SQL
What does SQL stand for?
structured query language
This is where you actually create the statistical model and you do the linear
regression. You do the decision tree. You do the deep learning neural network.
Modeling
These are the developers, and the system architects, the people who focus on the
hardware and the software that make data science possible
Data engineers
This is the phase of collecting data.
Data acquisition
,Which phase? - Working with stakeholders to help them ask better questions so
that both they and you understand the outcome.
Discovery
What are the 4 parts of data analytics cycle?
Planning, Wrangling, Modeling and Applying
This phase is also known as the discovery phase. During this phase, an analyst
defines the major questions of interest that need to be answered, understand the
needs of the stakeholders, and assess the resource constraints in the project.
Business understanding
____________________ is the person who champions the vision of the project
and has the authority to allocate resources.
The project sponsor
__________________ is responsible for making sure things get done on time and
within budget and removes roadblocks.
Project manager
___________ is when new requirements are added to the project that increases
the time/resources needed to complete it.
Scope creep
What are the 3 types of analysis?
Descriptive, Predictive, Prescriptive
___________________________ describes the data that is present. Mean, Median,
Mode, counting things. How many of each size and color of shirt were sold in the
last month? Do we sell more shirts in the summer vs winter?
Descriptive analysis
____________________ makes predictions about future state of business.
Forecasting volumes for example. Based on last summer and winter, what will we
sell next year?
Predictive analytics
_______________________ analysis with an end goal of making a
recommendation. What colors and sizes of shirts should we sell to maximize
profits?
Prescriptive analytics
______________________ is just looking at any variable over time
Time series analysis
____________________ is a programing language that is specific to statistics. It
also has capabilities to visualize data.
R
_______________ is a multipurpose programing language that has libraries that
extend its capabilities to do statistical analysis.
Python
______________________ are platforms that specialize in visualization. This is
where you can make graphs and charts for presentations and data storytelling to
executive leaders.
Tableau and Power BI
_______________________ are instant messaging platforms that facilitate in a
faster, but less formal, way than email.
, Teams, Slack
An European union law regulating their citizens must have informed consent and
ability to request or delete their own data that you collect.
GDPR
When the researching organization consciously ignores data that calls their
results into question or only presents one side of the results that puts them in a
positive light.
Conflict of interest
Sometimes data might not be available and the analyst will use tools such as web
scraping or surveys to acquire it during which phase?
Data aquisition
The ____________ states that the sampling distribution of the sample means
approaches a normal distribution as the sample size gets larger (if you were to
take 50 people out of that population and get the mean, then take another 50
random people and get their mean age, and so forth, all of those means would
follow the normal distribution (bell curve)).
Central Limit Theorem
In this phase, the analyst begins to understand the basic nature of data and the
relationships within it. This phase often relies on the use of data visualization
tools and numerical summaries, such as measures of central tendency and
variability.
Data Exploration
__________________ enables an analyst to move beyond describing the data to
creating models that enable predicting outcomes of interest.
Predictive Modeling
Tools such as _______________ play an important role in automating the training
and using of models.
Python and R
In this phase, an analyst tells the story of the data and uses graphs or interactive
dashboards to inform others of the findings from the analyses.
Reporting and Visualization
Even if you have a wide spread of a variable, let's say, age in a population, and
you take lots of sample groups, the mean age of those sample groups would tend
to have a normal distribution.
Central Limit theorem
This is the phase of collecting data. Frequently, data will be retrieved from a
database, perhaps a component of a data warehouse, by using a language like
SQL.
Data Acquisition
"Collect the data" is synonymous with ____________________
data acquisition
Exploring the data could be seen either in "________________" or
"_____________"
Prepare the data
Create a model
