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Python for Data Analytics, Machine Learning, and Generative AI: A Comprehensive Guide is a 10-week course designed to build strong foundations in programming, data analysis, and AI. It equips learners—students, professionals, and beginners alike, with practical skills to analyze data, build predictive models, and create AI-driven content. Starting with Python, you’ll master key libraries like NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. The course covers essential statistics for hypothesis testing. You’ll explore supervised and unsupervised learning using scikit-learn, model evaluation, and optimization. Advanced modules introduce Generative AI, including GANs and Transformers, for creative applications in text and image generation. A real-world capstone project ensures hands-on experience in solving business problems. This course empowers learners to harness data and AI for innovation, automation, and decision-making across industries.
