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Data Analytics is the process of analyzing raw data so that we can be able to pull insights which are useful to companies.
Data Science aims to uncover hidden patterns, relationships, and trends to solve intricate problems and make predictions or recommendations based on data-driven insights.
Data is the foundation of data science; it is the material on which all the analyses are based. In the context of data science, there are two types of data: traditional and big data.
Raw data is untouched data that needs to be con- verted into a form that is more understandable and useful for further processing.
A data quality assessment (DQA) is a process that can be used to assess the quality of a data set. The DQA helps in identifying where there are gaps in the data, which can be filled by the data providers
Traditional data may come from basic customer records, or historical stock price information. A consistently growing number of companies and industries use and generate big data
The data specialists who deal with raw data and preprocessing, with creating databases, and maintaining them can go by a different name.
Business intelligence (BI) refers to capabilities that enable organizations to make better decisions, take informed actions, and implement more-efficient business processes
The main advantage machine learning has over any of the traditional data science techniques is the fact that at its core resides the algorithm. These are the directions a computer uses to find a model that fits the data as well as possible
The machine learning engineer. This is the specialist who is looking for ways to apply state of the art computational models developed in the field of machine learning into solving complex problems such as business tasks, data science tasks, computer vision, self-driving cars, robotics, and so on.
-Generative AI refers to a subfield of Artificial Intelligence focused on creating new content, like text, images, code, or music, rather than just analyzing existing data.
-Generative AI refers to a subfield of Artificial Intelligence focused on creating new content, like text, images, code, or music, rather than just analyzing existing data.
Modern data management can enable organizations to make better decisions and gain the necessary capabilities to address current operational challenges
Some basic programming languages
