WGUD204 Data Analytics correct 100%

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 linear regression, decision trees, deep learning, machine learning, and neural networks Predictive Modeling Phase - ANSWER Create statistical models and complete 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