WGU D204 Data Analytics Test With 100% Correct Solutions

Lack of Organization and Lack of Sponsor Support - ANSWERWhat are some of the main reasons that projects fail? Hacking Skills, Math and Statistics, and Domain Expertise - ANSWERWhat is the Venn Diagram for Data Science? Discovery - ANSWERDefine Goals, Ask Questions, Develop a Problem Statement, Organize Resources Data Acquisition - ANSWERGather Data through API's, Open Data, Passive Data, and internal/external sources Data Exploration - ANSWERMake Visualizations, Summaries, Re-categorize cases, combine variables, look at summary statistics, develop histograms Predictive Modeling Phase - ANSWERCreate statistical models and complete linear regression, decision trees, deep learning, machine learning, and neural networks Data Mining - ANSWERDiscover patterns in the data using automatic and manual methods, extraction of patterns and knowledge In House Data - ANSWERData that is already available for use Fast, minimum restrictions, might be able to talk to the people who created data set. - ANSWERPro's of using In-House Data Poor Documentation, Data may Not Exist - ANSWERCon's of using In-House Data Open Data - ANSWERData that is free and open to use API - ANSWERWay of sharing data, routes data, translates data, gets it ready for use. Algebra - ANSWERMath that allows you to scale up and generalize data Linear Algebra - ANSWERMath used for matrices and vectors Calculus - ANSWERMath used to determine maximization and minimization Descriptive - ANSWERWhat Happened? Predictive - ANSWERWhat will happen? Prescriptive - ANSWEROptimization, what is the best outcome possible? Descriptive - ANSWERHow many products were sold last quarter? Prescriptive - ANSWERWhat do we need to do to increase sales by 20% next quarter? Predictive - ANSWERWhat are the sales expected to be next quarter? Data Analyst - ANSWERResponsible for obtaining and scrubbing data and displaying the results. Data Analyst - ANSWERRecommends statistical methods and creates data visualizations Research Lead - ANSWERKnows the business, asks interesting questions, and finds assumptions. Project Manager - ANSWERWorks to get the data out into the organization, clears organization hurdles, makes results actionable, and enforces learning. Data Discovery / Business Understanding - ANSWERAnalyst defines the major questions of interest, understands the needs of the stakeholders, and assesses the resource constraints of the project. Data Acquistion - ANSWERData retrieved from database using SQL, web scraping, surveys, open data, API's, etc. Data Cleaning - ANSWERSQL, Python, Excel, R, or other tools used to perform data modifications and transformations. Remove Null values, sort data, and get ready for the next steps. Data Exploration - ANSWERThe analyst begins to understand the basic nature of the data and the relationships within it. Measures of central tendency and variability are examined. Predictive Modeling - ANSWERCreating models that enable predicting outcomes of interest. Tools such as Python and R play an important role in automating and the training and using of models. Data Mining - ANSWERAbility of computers to look for patterns in large amounts of data. Machine learning, Python and R are important in this stage. Reporting and Visualization - ANSWERAnalyst tells story of the data and uses graphs or interactive dashboards to inform others of the findings. Tableau and PowerBI allow the novice user the ability to interact with the data and spot trends and patterns. Planning - ANSWERDefine Goals, Organize Resources, Coordinate People, and Schedule Project Wrangling - ANSWERGet Data, Clean Data, Explore Data, and Refine Data Modeling - ANSWERCreate Model, Validate Model, Evaluate Model, and Refine Model Applying - ANSWERPresent Model, Deploy Model, Revisit Model, Archive Assets Discovery - ANSWERMeet with stakeholders Discovery - ANSWEROrganize Resources Discovery - ANSWERIdentify Business Needs Data Acquisition - ANSWERGetting the data, cleaning the data Data Exploration - ANSWERGaining insight to data set, verification through visualization, and getting familiar with the data set Data Exploration - ANSWERAn analyst applies a statistical formula to obtain the average temperature in a city over the last 50 years. Data Exploration - ANSWERAn analyst creates a histogram to observe the summary statistics for a data set. Data Mining - ANSWERFinding Patterns and Insights Data Mining - ANSWERTest Hypotheses Data Mining - ANSWERAn analyst realizes that the data set has been reduced significantly, resulting in sample sizes that are too small. Data Mining - ANSWERA data analyst has identified combinations of sales transactions that frequently occur together in data over the past 5 years. Data Acquisition - ANSWERAn analyst creates a SQL query to pull data from a data warehouse. Descriptive Modeling - ANSWERDescribes the data that's present. Mean, Median, Mode, etc. Descriptive Modeling - ANSWERIn what month did we sell the most donuts? Prescriptive Modeling - ANSWERWhat should we do? Make a recommendation. Prescriptive Modeling - ANSWERWhat types of donuts should we sell to maximize profits? Predictive Modeling - ANSWERWhat will happen in the future? Churn Analysis Reporting - ANSWERRemove irrelevant variables, use visuals to display the information, present it to stakeholders, and archive assets. Project Sponsor - ANSWERChampions the vision of the project, and has the ability to allocate resources. Project Manager - ANSWERMakes sure that things get done on time, removes roadblocks, and enforces learning. Scope Creep - ANSWERNew requirements added that increase the time/resources needed to complete the project. Engineer - ANSWERDevs, Architect, focuses on hardware or software that enables data science Machine Learning Specialist - ANSWERProficient in Computer Science and Math, Deep Learning, Artificial Intelligence Researcher - ANSWERSubject Matter Expert, High Statistical Expertise Research Analyst - ANSWERWeb Analytics, SQL, and Visualizations Central Limit Theorom - ANSWERIf you have enough sample groups, the mean of those sample groups will tend to follow a normal distribution. Regression - ANSWERUsed to model the relationship between two variables; Predict binary outcomes. Time Series Analysis - ANSWERLooking at variables over time Optimization - ANSWERWhat value a variable should have, given certain conditions or restraints Optimization - ANSWERThe price of lemonade when you have x lemons, y amount of sugar, and z cups at a certain price Bayes Theorem - ANSWERThe probability of an event, based on some relevant knowledge. Bayes Theorem - ANSWERYou test positive for a certain medical condition. Given the false positive rate, how likely is it that it's a true positive versus true false positive? SQL - ANSWERUsed to get data out of a data warehouse R - ANSWERTool used for Statistics, can sort and visualize data Python - ANSWEROpen Source, Versatile, and has libraries specialized in data analysis and visualization Tableau and PowerBI - ANSWERWhat software specializes in visualization, graphs, and charts for user interaction Real Time Instant Messaging - ANSWERWhat do tools like Slack and Teams include for users? GDPR - ANSWEREU Citizens must have informed consent and ability to request or delete their own data that you collect? Bias - ANSWERGoing into a study wanting a particular outcome. Conflict of Interest - ANSWERIgnoring data that is not convenient, does not fit the desired narrative, makes the organization look bad, etc. Privacy - ANSWERLeak sensitive personal data Central Limit Theorem - ANSWERIf you were to take 50 people out of a population and get the mean, then take another 50 random people and get the mean, all of the means would follow the normal distribution. K Nearest Neighbors - ANSWERUse Similarity and Distance to group together K Means - ANSWERMethod that assigns cluster to a cluster with the nearest centroid. Focus on High Impact Items - ANSWERWhat is a benefit of using Automated Code Review? Detecting Missing Values - ANSWERAn analyst has been tasked with defining columns that include null values Data Cleaning - ANSWERWhich activity occurs in the data acquisition phase and takes the most time?