WGU D204 THE DATA ANALYTICS UPDATED FINAL
EXAM QUESTIONS AND ANSWERS SURE A+
✔✔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
✔✔Predictive or data mining models could be considered in the
"_________________________" grouping. - ✔✔Create a model
✔✔____________________ examines the distances between each point and the
closest point to it, and then compares these to expected values for a random sample of
points from a CSR (complete spatial randomness) pattern. - ✔✔Nearest Neighbor
✔✔______________ is a simple mathematical formula used for calculating conditional
probabilities. - ✔✔Bayes' Theorem
, ✔✔Interactive dashboards tools, such as _____________, allow even the novice user
the ability to interact with the data and spot trends and patterns. - ✔✔Tableau
✔✔Data Acquisition (Step 5), Data Cleaning (Step 6), and Data Exploration (Step 7) in
this framework all fall under the "____________" domain. - ✔✔"Wrangling" domain.
✔✔The ______________ section would contain the ideas of predictive modeling as well
as data mining/machine learning. - ✔✔"Modeling"
✔✔These are people who have extensive work in computer science and in
mathematics. They work in deep learning. They work in artificial intelligence. And they're
the ones who have the intimate understanding of the algorithms and understand exactly
how they're working with the data to produce the results that you're looking for. -
✔✔Machine learning specialists
✔✔They focus on domain-specific research like, for instance, physics and genetics are
common, so is astrophysics, so is medicine, so is psychology, and these kinds of
researchers, while they connect with data science, they are usually better versed in the
design of research within their particular field and doing common statistical analyses,
that's where their expertise lies, but they connect with data science in that they're trying
to find the answers to some of these big-picture questions that data scientists can also
contribute to. - ✔✔Topical researchers
✔✔These are people who do the day-to-day data tasks that are necessary for any
business to run efficiently. Those include things like web analytics, and S-Q-L, that's
SQL or Structured Query Language, data visualizations, and the reports that go into
business intelligence. These allow people to make decisions. - ✔✔Analysts
✔✔They need to frame the business-relevant questions and solutions. Then, they need
to keep people on track and moving towards it. - ✔✔Managers
✔✔They don't necessarily need to know how to do a neural network, they don't need to
make the data visualization, but they need to speak data so they can understand how
the data relates to the question they're trying to answer, and they can help take the
information that the other people are getting and putting it together into a cohesive
whole. - ✔✔Managers
✔✔They often need all of the skills, including the business acumen, to make the
business run well. They also need some great creativity in planning your projects and
the execution that get them towards their entrepreneurial goals. - ✔✔Entrepreneurs
✔✔This is a full-stack data scientist who can do it all, and do it at absolute peak
performance. - ✔✔unicorn, also known as the rock star, or the ninja.
EXAM QUESTIONS AND ANSWERS SURE A+
✔✔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
✔✔Predictive or data mining models could be considered in the
"_________________________" grouping. - ✔✔Create a model
✔✔____________________ examines the distances between each point and the
closest point to it, and then compares these to expected values for a random sample of
points from a CSR (complete spatial randomness) pattern. - ✔✔Nearest Neighbor
✔✔______________ is a simple mathematical formula used for calculating conditional
probabilities. - ✔✔Bayes' Theorem
, ✔✔Interactive dashboards tools, such as _____________, allow even the novice user
the ability to interact with the data and spot trends and patterns. - ✔✔Tableau
✔✔Data Acquisition (Step 5), Data Cleaning (Step 6), and Data Exploration (Step 7) in
this framework all fall under the "____________" domain. - ✔✔"Wrangling" domain.
✔✔The ______________ section would contain the ideas of predictive modeling as well
as data mining/machine learning. - ✔✔"Modeling"
✔✔These are people who have extensive work in computer science and in
mathematics. They work in deep learning. They work in artificial intelligence. And they're
the ones who have the intimate understanding of the algorithms and understand exactly
how they're working with the data to produce the results that you're looking for. -
✔✔Machine learning specialists
✔✔They focus on domain-specific research like, for instance, physics and genetics are
common, so is astrophysics, so is medicine, so is psychology, and these kinds of
researchers, while they connect with data science, they are usually better versed in the
design of research within their particular field and doing common statistical analyses,
that's where their expertise lies, but they connect with data science in that they're trying
to find the answers to some of these big-picture questions that data scientists can also
contribute to. - ✔✔Topical researchers
✔✔These are people who do the day-to-day data tasks that are necessary for any
business to run efficiently. Those include things like web analytics, and S-Q-L, that's
SQL or Structured Query Language, data visualizations, and the reports that go into
business intelligence. These allow people to make decisions. - ✔✔Analysts
✔✔They need to frame the business-relevant questions and solutions. Then, they need
to keep people on track and moving towards it. - ✔✔Managers
✔✔They don't necessarily need to know how to do a neural network, they don't need to
make the data visualization, but they need to speak data so they can understand how
the data relates to the question they're trying to answer, and they can help take the
information that the other people are getting and putting it together into a cohesive
whole. - ✔✔Managers
✔✔They often need all of the skills, including the business acumen, to make the
business run well. They also need some great creativity in planning your projects and
the execution that get them towards their entrepreneurial goals. - ✔✔Entrepreneurs
✔✔This is a full-stack data scientist who can do it all, and do it at absolute peak
performance. - ✔✔unicorn, also known as the rock star, or the ninja.
