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Exam (elaborations)

My D204 WGU Study Set with questions and answers

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My D204 WGU Study Set Exam

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  • December 6, 2023
  • 9
  • 2023/2024
  • Exam (elaborations)
  • Questions & answers
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My D204 WGU Study Set




Which of these is NOT a topic of interest for Discovery/Planning/Business
Understanding?
A. Project Scope
B. Identify stakeholders and research questions/KPIs
C. Build a data pipeline (ETL)
D. Identify timeline, budget, and participants - answerC

What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models due to excessive
variability. - answerA

In what phase does the analyst identify the stake holders and research questions? -
answerBusiness Understanding/Planning/Discovery

In what phase does the analyst deal with the following:

Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source - answerData acquisition

In what phase does the analyst deal with the following:

Fixing improperly formatted values
Dealing with duplicates, missing data, and outliers
Data reduction - answerData cleaning/wrangling/scrubbing/munging

In what phase does the analyst deal with the following:

Central Tendency/ Measures of center (e.g., mean, median, mode), variability (e.g.,
standard deviations and quartiles) and distributions (e.g., normal, skewed, etc)

, Identify basic correlations between variables
Pattern discovery - answerData exploration/Exploratory Data Analysis(EDA)/Descriptive
Statistics

In what phase does the analyst deal with the following:

Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy. - answerPredictive
Modeling/Data Modeling/Correlation based models/Regression models/Time Series

In what phase does the analyst deal with the following:

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 (e.g., machine/deep learning, AI, etc) -
answerData Mining/Machine Learning/AI/Supervised, Unsupervised Models

In what phase does the analyst deal with the following:

Tell a story with data
Provide a summary of analytic analysis
Provide insights to stakeholders
Create insightful graphs that showcase trends and forecasts - answerReporting and
visualization/Dashboards

What is a potential problem in the data acquisition/query/collection step? -
answerQuality and type of data may make access more difficult

What are two potential problems in the Data Cleaning/Wrangling step? - answerSome
cleaning techniques could dramatically change data/outcomes

Outliers not dealt with can cause problems with statistical models due to excessive
variability.

What is a potential problem in the data exploration/descriptive statistics step? -
answerSkipping this step could enable faulty perceptions of the data which hurt
advanced analytics.

What are potential problems in the Predictive Modeling step? - answerToo many input
variables (predictors) can cause problems

Correlation does not imply causation.

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