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Data science is the multidisciplinary field that involves using scientific methods, algorithms, and statistical models to analyze structured and unstructured data, uncover patterns, make predictions, and support decision-making processes.

Data Science is a process using AI that helps to study different structured and unstructered data using several principles to make strategic decisions and planning and Deep Learning is a type of Machine learning it works in a way closer like human brains to make effective decisions, it involves several algorithms is used and instead of a single layer, multiple complicated layers are used for processing.

Data science leverages a wide range of techniques and tools from mathematics, statistics, computer science, and domain-specific knowledge to extract value from data. These techniques include regression analysis, classification, clustering, natural language processing (NLP), deep learning, data visualization, and more. 

Data scientists often use programming languages like Python programming language and its associated libraries and tools for performing data analysis, extracting insights, and building predictive models. 

Python has gained significant popularity in the data science community due to its simplicity, versatility, and extensive ecosystem of libraries specifically designed for data manipulation, visualization, and machine learning and utilize libraries and frameworks such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch to implement data science workflows effectively.

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