[amp_mcq option1=”Data Wrangling” option2=”Data Visualization” option3=”Data Engineering” option4=”Data Mining” correct=”option4″]<\/p>\n
The correct answer is D. Data Mining.<\/p>\n
Data mining is the process of extracting patterns and information from data. It is a subset of data science and is used to find hidden patterns in data sets. Data mining can be used for a variety of purposes, such as fraud detection, customer segmentation, and product recommendation.<\/p>\n
Data wrangling is the process of cleaning and organizing data. It is the first step in data mining and is necessary to ensure that the data is accurate and complete. Data wrangling can be a time-consuming and complex process, but it is essential for the success of data mining.<\/p>\n
Data visualization is the process of representing data in a graphical or pictorial format. It is used to make data easier to understand and interpret. Data visualization can be used for a variety of purposes, such as data analysis, communication, and decision making.<\/p>\n
Data engineering is the process of building and maintaining data pipelines. It is the process of collecting, storing, and processing data. Data engineering is necessary to ensure that data is available for data mining and other data-driven applications.<\/p>\n
I hope this helps!<\/p>\n","protected":false},"excerpt":{"rendered":"
[amp_mcq option1=”Data Wrangling” option2=”Data Visualization” option3=”Data Engineering” option4=”Data Mining” correct=”option4″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[734],"tags":[],"class_list":["post-56472","post","type-post","status-publish","format-standard","hentry","category-introduction-to-data-science","no-featured-image-padding"],"yoast_head":"\n