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Data Science::
Data Science is a comprehensive process that involves preprocessing, analysis, visualization, and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events.
A Data Scientist, on the other hand, helps the company and businesses to make careful data-driven decisions. A Data Scientist is responsible for extracting data using SQL and NoSQL queries, cleaning various anomalies in the data, analyzing the patterns in data, and applying predictive models.

Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of a human. While the term dates back over fifty years,[1] there is some current indecision as to the scope of the term. Monash Research's Curt Monash defines it as "data that was produced entirely by machines OR data that is more about observing humans than recording their choices."[2] Meanwhile, Daniel Abadi, CS Professor at Yale, proposes a narrower definition, "Machine-generated data is data that is generated as a result of a decision of an independent computational agent or a measurement of an event that is not caused by a human action."[3] Regardless of definition differences, both exclude data manually entered by a person.[4] Machine-generated data crosses all industry sectors. Often and increasingly, humans are unaware their actions are generating the data.[

The tools of business intelligence are also limited to the analysis of management information and curation of business strategies. However, the tools of a data scientist involve complex algorithmic models, data processing, and even big data tools. While BI focuses on generating reports based on the internal structured data, Data Science focuses on generating insights out of the data.

Data Science is a field that makes use of scientific methods and algorithms in order to extract knowledge and discover insights from data (structured on unstructured). Data Analytics is the process of using specialized systems and software to inspect information in datasets in order to derive conclusions

Data Analytics is the process of using specialized systems and software to inspect information in datasets in order to derive conclusions. This focuses on specific areas with specific goals. Briefly, the two perform

What is the role of teachers in preparing students for the future?
https://www.brookings.edu/opinions/what-is-the-role-of-teachers-in-preparing-future-generations/
“It is a way of living that recognizes our world is an increasingly complex web of connections and interdependencies — one in which our choices and actions may have repercussions for people and communities locally, nationally or internationally.”

The primary aim of Global Citizenship Education (GCED) is nurturing respect for all, building a sense of belonging to common humanity, and helping learners become responsible and active global citizens. GCED aims to empower learners to assume active roles to face and resolve global challenges and to become proactive contributors to a more peaceful, tolerant, inclusive,

Flowers are linked to a person's happiness, both immediate and long term. ... Flowers can make you happy by triggering your happy brain chemicals: dopamine, serotonin, and oxytocin.