📮 Automated Data Analytics by Soraya Sedkaoui (.ePUB)+

Data analytics is a crucial process in today’s data-driven world. It involves collecting, cleaning, transforming and analyzing data to uncover useful information, insights, trends and patterns which inform business strategy, decision-making and process optimization. Traditionally, data analytics was a manual process requiring data scientists and analysts to prepare and process data before analyzing them. This was both tedious and time-consuming. The advent of machine learning and Artificial Intelligence (AI) has transformed data analytics by automating some parts of the process. Generative AI models, like ChatGPT, are at the forefront of this automation revolution in data analytics. These large language models can understand human prompts and generate coherent and human-like textual responses. They are trained with massive text datasets, enabling them to perform a variety of language-based tasks. Generative models, such as ChatGPT, can be fine-tuned for specific applications, including data analytics.

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