ADY Data Science Methodology
#ditkhitacontre
The first stage of the data science methodology is Data Understanding.
True
False -ANSW False
The main purpose of the analytic approach is identifying what type of patterns will be
needed to address the posed question most effectively.
True
False -ANSW True
For the case study, a decision tree classification model was used to identify the
combination of conditions leading to each patient's outcome.
True
False -ANSW True
The Data Requirements stage of the data science methodology involves identifying the
necessary data content, formats and sources for initial data collection.
True
False -ANSW True
Database Administrators determine how to collect and prepare the data.
True
False -ANSW False
In the Data Collection stage, the data requirements are revised and decisions are made
as to whether or not more data is needed.
True
False -ANSW True
In the case study, during the Data Understanding stage, data scientists discovered that
not all the congestive heart failure admissions that were expected were being captured.
What action did they take to resolve the issue?
, a. The data scientists looped back to the Data Collection stage, adding secondary and
tertiary diagnoses, and building a more comprehensive definition of congestive heart
failure admission.
b. The data scientists added the missing data manually.
c. The data scientists did not need to do anything. In this case, expectations for the data
were incorrect.
d. The data scientists looped back to the Business Understanding stage to redefine the
requirements. -ANSW The data scientists looped back to the Data Collection stage,
adding secondary and tertiary diagnoses, and building a more comprehensive definition
of congestive heart failure admission.
During the Data Preparation stage, clients and stakeholders aggregate the data and
merge them from different sources, enabling data scientists to use clean data in the
analysis.
True
False -ANSW False
The Data Preparation stage is a very iterative and complicated stage that cannot be
accelerated through automation.
True
False -ANSW False
The Modeling stage is followed by the Analytic Approach stage.
True
False -ANSW False
Model Evaluation includes ensuring that the data are properly handled and interpreted.
True
False -ANSW True
Select the correct statements about the ROC curve.
a. By plotting the true-positive rate against the false-positive rate for different values of
the relative misclassification cost, the ROC curve can be used to select the optimal
model.
b. The ROC curve is a useful diagnostic tool for determining the optimal classification
model.
c. The ROC curve was originally developed to optimize healthcare and detect
congestive heart failure readmission rate.
d. ROC stands for Receiver Operating Characteristic curve, which was originally
developed to detect enemy aircrafts on radar. -ANSW a. By plotting the true-positive
#ditkhitacontre
The first stage of the data science methodology is Data Understanding.
True
False -ANSW False
The main purpose of the analytic approach is identifying what type of patterns will be
needed to address the posed question most effectively.
True
False -ANSW True
For the case study, a decision tree classification model was used to identify the
combination of conditions leading to each patient's outcome.
True
False -ANSW True
The Data Requirements stage of the data science methodology involves identifying the
necessary data content, formats and sources for initial data collection.
True
False -ANSW True
Database Administrators determine how to collect and prepare the data.
True
False -ANSW False
In the Data Collection stage, the data requirements are revised and decisions are made
as to whether or not more data is needed.
True
False -ANSW True
In the case study, during the Data Understanding stage, data scientists discovered that
not all the congestive heart failure admissions that were expected were being captured.
What action did they take to resolve the issue?
, a. The data scientists looped back to the Data Collection stage, adding secondary and
tertiary diagnoses, and building a more comprehensive definition of congestive heart
failure admission.
b. The data scientists added the missing data manually.
c. The data scientists did not need to do anything. In this case, expectations for the data
were incorrect.
d. The data scientists looped back to the Business Understanding stage to redefine the
requirements. -ANSW The data scientists looped back to the Data Collection stage,
adding secondary and tertiary diagnoses, and building a more comprehensive definition
of congestive heart failure admission.
During the Data Preparation stage, clients and stakeholders aggregate the data and
merge them from different sources, enabling data scientists to use clean data in the
analysis.
True
False -ANSW False
The Data Preparation stage is a very iterative and complicated stage that cannot be
accelerated through automation.
True
False -ANSW False
The Modeling stage is followed by the Analytic Approach stage.
True
False -ANSW False
Model Evaluation includes ensuring that the data are properly handled and interpreted.
True
False -ANSW True
Select the correct statements about the ROC curve.
a. By plotting the true-positive rate against the false-positive rate for different values of
the relative misclassification cost, the ROC curve can be used to select the optimal
model.
b. The ROC curve is a useful diagnostic tool for determining the optimal classification
model.
c. The ROC curve was originally developed to optimize healthcare and detect
congestive heart failure readmission rate.
d. ROC stands for Receiver Operating Characteristic curve, which was originally
developed to detect enemy aircrafts on radar. -ANSW a. By plotting the true-positive
