WGUD204 Data Analytics Questions & Answers

Lack of Organization and Lack of Sponsor Support - ANSWER What are some of the main reasons that projects fail? Hacking Skills, Math and Statistics, and Domain Expertise - ANSWER What is the Venn Diagram for Data Science? Discovery - ANSWER Define Goals, Ask Questions, Develop a Problem Statement, Organize Resources Data Acquisition - ANSWER Gather Data through API's, Open Data, Passive Data, and internal/external sources Data Exploration - ANSWER Make Visualizations, Summaries, Re-categorize cases, combine variables, look at summary statistics, develop histograms Predictive Modeling Phase - ANSWER Create statistical models and complete linear regression, decision trees, deep learning, machine learning, and neural networks Data Mining - ANSWER Discover patterns in the data using automatic and manual methods, extraction of patterns and knowledge In House Data - ANSWER Data that is already available for use Fast, minimum restrictions, might be able to talk to the people who created data set. - ANSWER Pro's of using In-House Data Poor Documentation, Data may Not Exist - ANSWER Con's of using In-House Data Open Data - ANSWER Data that is free and open to use API - ANSWER Way of sharing data, routes data, translates data, gets it ready for use. Algebra - ANSWER Math that allows you to scale up and generalize data Linear Algebra - ANSWER Math used for matrices and vectors Calculus - ANSWER Math used to determine maximization and minimization Descriptive - ANSWER What Happened? Predictive - ANSWER What will happen? Prescriptive - ANSWER Optimization, what is the best outcome possible? Descriptive - ANSWER How many products were sold last quarter? Prescriptive - ANSWER What do we need to do to increase sales by 20% next quarter? Predictive - ANSWER What are the sales expected to be next quarter? Data Analyst - ANSWER Responsible for obtaining and scrubbing data and displaying the results. Data Analyst - ANSWER Recommends statistical methods and creates data visualizations Research Lead - ANSWER Knows the business, asks interesting questions, and finds assumptions. Project Manager - ANSWER Works to get the data out into the organization, clears organization hurdles, makes results actionable, and enforces learning. Data Discovery / Business Understanding - ANSWER Analyst defines the major questions of interest, understands the needs of the stakeholders, and assesses the resource constraints of the project. Data Acquistion - ANSWER Data retrieved from database using SQL, web scraping, surveys, open data, API's, etc. Data Cleaning - ANSWER SQL, 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 - ANSWER The 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 - ANSWER Creating 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 - ANSWER Ability of computers to look for patterns in large amounts of data. Machine learning, Python and R are important in this stage. Reporting and Visualization - ANSWER Analyst 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 - ANSWER Define Goals, Organize Resources, Coordinate People, and Schedule Project Wrangling - ANSWER Get Data, Clean Data, Explore Data, and Refine Data Modeling - ANSWER Create Model, Validate Model, Evaluate Model, and Refine Model Applying - ANSWER Present Model, Deploy Model, Revisit Model, Archive Assets Discovery - ANSWER Meet with stakeholders Discovery - ANSWER Organize Resources