The correct answer is A. Data Analysis.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Data analysis is used in a wide variety of fields, including business, science, medicine, and government. It is used to make decisions about everything from product development to healthcare policy.
Data analysis can be divided into two main categories: descriptive analytics and predictive analytics. Descriptive analytics is used to describe past data. It can be used to answer questions such as “What happened?” and “How did it happen?” Predictive analytics is used to predict future data. It can be used to answer questions such as “What will happen?” and “What is the likelihood of something happening?”
Data analysis is a powerful tool that can be used to make better decisions. However, it is important to remember that data analysis is only one part of the decision-making process. Other factors, such as expert judgment and experience, should also be considered when making decisions.
Here is a brief explanation of each option:
- A. Data Analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
- B. Data Science is a field that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.
- C. Descriptive Analytics is a type of data analysis that focuses on describing past data. It can be used to answer questions such as “What happened?” and “How did it happen?”
- D. None of the mentioned is not a valid option.