WGU D204 AT Set | 100% Correct | Verified | 2024 Version

What are the 7 Phases of the Data Analytics Life Cycle? - 1. Business Understanding/Discovery Phase 2. Data Acquisition 3. Data Cleaning 4. Data Exploration 5. Predictive Modeling 6. Data Mining 7. Data Reporting Explain the Business Understanding & Discovery Phase - The analyst defines the question(s) of interest that need to be answered. The analyst will determine the needs of the stakeholders, assess resource constraints, and define project outcomes. Explain the Data Acquisition Phase - The process of collecting and storing data for easy retrieval from a database or even a component of a data warehouse. Web scraping and surveys can be used to acquire data. Explain the Data Cleaning Phase - Also known as data cleansing, data wrangling, data munging, & feature engineering. Analyst utilize SQL, Python, R or excel to transform and modify data. Explain Data Exploration Phase - In this phase the analyst begins to understand the basic nature of the data, the relationships within in (between data variables), the structure of the dataset, the presence of outliers, and the distribution of the data. This phase utilizes data visualization tools and numerical summaries( measures of central tendency and variability).