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Navigation in Data Science refers to the process of exploring and analyzing data to gain insights and make informed decisions. It involves the use of various techniques and tools such as data visualization, statistical analysis, machine learning, and artificial intelligence algorithms to navigate through large and complex datasets. Navigation is an essential part of the data science workflow as it helps in identifying patterns, trends, and relationships in the data that can be used to drive business decisions and improve performance. Effective navigation requires a combination of technical skills, domain knowledge, and critical thinking to extract meaningful insights from the data.


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