My D204 WGU Study Set

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 - ANSWER C 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. - ANSWER A In what phase does the analyst identify the stake holders and research questions? - ANSWER Business 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 - ANSWER Data acquisition In what phase does the analyst deal with the following: Fixing improperly formatted values Dealing with duplicates, missing data, and outliers Data reduction - ANSWER Data 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 - ANSWER Data 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. - ANSWER Predictive 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) - ANSWER Data 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 - ANSWER Reporting and visualization/Dashboards What is a potential problem in the data acquisition/query/collection step? - ANSWER Quality and type of data may make access more difficult What are two potential problems in the Data Cleaning/Wrangling step? - ANSWER Some 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? - ANSWER Skipping this step could enable faulty perceptions of the data which hurt advanced analytics. What are potential problems in the Predictive Modeling step? - ANSWER Too many input variables (predictors) can cause problems Correlation does not imply causation. Time series models often need sufficient time data to offer precise trending. Predictive model accuracy should be assessed using cross-validation. What is a potential problem in the data mining/supervised models step? - ANSWER Running on entire data is problematic; need to subset data into training and testing datasets to build models. What are two potential problems in the reporting and visualization/dashboards step? - ANSWER Due to potential large audience consumption, mistakes can cause bad business decisions and loss of revenue Improper scales used in graphs could push for interpretations of the story that is inaccurate What is the term for this question: What happened or what is happening? - ANSWER Descriptive Analytics What is the term for this question: Why did it happen? - ANSWER Diagnostic Analytics What is the term for this question