D204 WGU Study Material questions with verified
answers
Describe the business understanding phase of the data analytics life cycle.
Ans✓✓✓ This phase is also known as the discovery phase.
-Defines the major questions
-Determines the needs of the stakeholders
-Assesses the resource constraints of the project
Describe the data acquisition phase of the data analytics life cycle. Ans✓✓✓ This
is the phase of collecting data.
-Data will be retrieved from a database, perhaps a component of a data
warehouse, by using a language like SQL.
-Sometimes, data might not be available. In these cases, the analyst will use tools
such as web scraping or surveys to acquire it.
Describe the data cleaning phase of the data analytics life cycle. Ans✓✓✓
Common alternative names include data cleansing, data wrangling, data munging,
and feature engineering.
-When this phase is ignored or skipped, the results from the analysis may become
irrelevant.
, -Data quality is measured in terms of uniqueness and relevance.
Describe the data exploration phase of the data analytics life cycle. Ans✓✓✓ -
Begin to understand the basic nature of data and the relationships within it.
-Relies on the use of data visualization tools and numerical summaries, such as
measures of central tendency and variability.
Describe the data mining phase of the data analytics life cycle. Ans✓✓✓ -
Creating training and testing datasets to build models from
-Identify/detect patterns
-Determine if groups (clusters) exist in data
-Classify data into groups
-Create models that "learn" and improve (like machine learning and artificial
intelligence)
Describe the predictive modeling phase of the data analytics life cycle. Ans✓✓✓ -
Estimate/project future values or likelihood of an event.
-Extend correlations found in EDA to mathematical models
answers
Describe the business understanding phase of the data analytics life cycle.
Ans✓✓✓ This phase is also known as the discovery phase.
-Defines the major questions
-Determines the needs of the stakeholders
-Assesses the resource constraints of the project
Describe the data acquisition phase of the data analytics life cycle. Ans✓✓✓ This
is the phase of collecting data.
-Data will be retrieved from a database, perhaps a component of a data
warehouse, by using a language like SQL.
-Sometimes, data might not be available. In these cases, the analyst will use tools
such as web scraping or surveys to acquire it.
Describe the data cleaning phase of the data analytics life cycle. Ans✓✓✓
Common alternative names include data cleansing, data wrangling, data munging,
and feature engineering.
-When this phase is ignored or skipped, the results from the analysis may become
irrelevant.
, -Data quality is measured in terms of uniqueness and relevance.
Describe the data exploration phase of the data analytics life cycle. Ans✓✓✓ -
Begin to understand the basic nature of data and the relationships within it.
-Relies on the use of data visualization tools and numerical summaries, such as
measures of central tendency and variability.
Describe the data mining phase of the data analytics life cycle. Ans✓✓✓ -
Creating training and testing datasets to build models from
-Identify/detect patterns
-Determine if groups (clusters) exist in data
-Classify data into groups
-Create models that "learn" and improve (like machine learning and artificial
intelligence)
Describe the predictive modeling phase of the data analytics life cycle. Ans✓✓✓ -
Estimate/project future values or likelihood of an event.
-Extend correlations found in EDA to mathematical models
