Data Science Essentials

Data Science Essentials refers to the fundamental concepts, techniques, and tools that are commonly used in the field of data science. It includes statistical analysis, data visualization, data cleaning, machine learning, deep learning, and data storytelling. It also involves understanding of programming languages such as Python and R, databases, and big data technologies.

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Data Science Essentials refers to the fundamental concepts, techniques, and tools that are commonly used in the field of data science. It includes statistical analysis, data visualization, data cleaning, machine learning, deep learning, and data storytelling. It also involves understanding of programming languages such as Python and R, databases, and big data technologies. The goal of data science is to extract insights and knowledge from data to inform decision making and drive innovation.

 

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Simran Dubey

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