WGU D491 INTRODUCTION TO ANALYTICS ACTUAL QUESTIONS AND ANSWERS 100% CORRECT

WGU D491 INTRODUCTION TO ANALYTICS ACTUAL QUESTIONS AND ANSWERS 100% CORRECT What is Data analytics? -The process of encrypting data to keep it secure -The process of storing data in a secure location for future use -The process of analyzing data to extract insights -The process of collecting data from various sources - Answer The process of analyzing data to extract insights. (Data analytics involves analyzing data to extract insights and inform decision-making. This includes using various techniques and tools to explore, clean, transform, and model data and visualize and communicate findings.) What is data science? -A field that involves creating data visualizations to provide insights -The process of creating computer programs to automate tasks -The study of how computers interact with human language -The practice of using statistical methods to extract insights from data - Answer The practice of using statistical methods to extract insights from data. (Data science is a multidisciplinary field involving various statistical, mathematical, and computational methods to extract meaningful insights and knowledge from data.) How is data science different from data analytics? -Data science focuses more on data visualization, while data analytics focuses on data cleaning and preprocessing. -Data science focuses more on tracking experimental data, and data analytics is based on statistical methods and hypotheses. -Data science involves creating new algorithms, while data analytics uses existing statistical methods. -Data science focuses on developing new algorithms and models, while data analytics focuses on using existing models to analyze data. - Answer Data science focuses on developing new algorithms and models, while data analytics focuses on using existing models to analyze data. (Data science is more research-based, while data analytics is more focused on the practical applications of data analytics.) Which comparison describes the difference between data analytics and data science? -Data analytics focuses on statistics, and data science mainly focuses on qualitative reasoning. -Data science involves analyzing data from structured sources, while data analytics involves analyzing data from unstructured sources. -Data analytics is the process of analyzing data to extract insights, while data science involves building and testing models to make predictions. -Data analytics focuses on descriptive analysis, while data science focuses on prescriptive analysis. - Answer Data analytics