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What is Data analysis?

Data analysis involves systematically examining and interpreting data to uncover patterns, trends, and insights. It combines statistical techniques and AI-driven models to optimize business operations, enhance decision-making, and improve research accuracy.

Intelligent Automation
Intelligent automation combines AI, machine learning, and robotic process automation (RPA) to automate complex business processes. It enhances efficiency, reduces human error, and improves decision-making in industries like finance, healthcare, and IT operations.
Statistical data types
Statistical data types refer to the classification of data into categories such as nominal, ordinal, interval, and ratio data. Understanding these types helps in selecting appropriate analysis methods and visualization techniques.
Generative model
A generative model is a type of machine learning algorithm that learns from data distributions to create new, realistic samples. Examples include GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), which generate images, text, and videos for applications like AI art, deepfake technology, and content generation.

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