WGU D204 Questions and Answers with Verified Solutions | Latest
2026 Update
Q: What is the third phase in the Data Life Cycle
Answer:
Data cleaning phase
Q: Data cleaning phase: describe
Answer:
AKA: cleansing, wrangling, munging, feature engineering
Q: uses SQL, Python, R , or Excel to perform data modifications and
transformations
Answer:
,WGU D204 Questions and Answers with Verified Solutions | Latest
2026 Update
Q: Data cleaning phase: tools/techniques
Answer:
PYTHON
R
SQL
EXCEL
Q: data reduction: optimize storage capacity
Answer:
modification
transformation
anomaly detection
Q: Data cleaning phase: problems
Answer:
- some cleaning techniques could dramatically change
data/outcomes
, WGU D204 Questions and Answers with Verified Solutions | Latest
2026 Update
Q: outliers not dealt with can cause problems with stats models
Answer:
Q: What is the fourth phase in the Data Life Cycle
Answer:
data exploration
Q: Data exploration: describe
Answer:
begins to understand basic nature of the data, relationships
within it, structure of the data set and presence of outliers and the distribution of the
data
Q: uses data visualization tools and numerical summaries
Answer:
2026 Update
Q: What is the third phase in the Data Life Cycle
Answer:
Data cleaning phase
Q: Data cleaning phase: describe
Answer:
AKA: cleansing, wrangling, munging, feature engineering
Q: uses SQL, Python, R , or Excel to perform data modifications and
transformations
Answer:
,WGU D204 Questions and Answers with Verified Solutions | Latest
2026 Update
Q: Data cleaning phase: tools/techniques
Answer:
PYTHON
R
SQL
EXCEL
Q: data reduction: optimize storage capacity
Answer:
modification
transformation
anomaly detection
Q: Data cleaning phase: problems
Answer:
- some cleaning techniques could dramatically change
data/outcomes
, WGU D204 Questions and Answers with Verified Solutions | Latest
2026 Update
Q: outliers not dealt with can cause problems with stats models
Answer:
Q: What is the fourth phase in the Data Life Cycle
Answer:
data exploration
Q: Data exploration: describe
Answer:
begins to understand basic nature of the data, relationships
within it, structure of the data set and presence of outliers and the distribution of the
data
Q: uses data visualization tools and numerical summaries
Answer:
