Data Science 101 (DS0101EN)
Fundamental methodologies of modern data science, exploratory data pipelines, tabular manipulation, and predictive machine learning models.
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Fundamental methodologies of modern data science, exploratory data pipelines, tabular manipulation, and predictive machine learning models.
Object-oriented Python paradigms, numerical array processing with NumPy, relational dataframe manipulation with Pandas, and data visualization.
Intensive practical internship covering human-computer interaction, cognitive design heuristics, responsive wireframes, design system tokens, and user flow validation.
Foundations of Prompt Engineering completion certificate awarded to Ashwath Shiva by AWS Training & Certification.
Two-month course completion certificate on Data Science with Python offered by TechMaghi.
Internship in Python Full Stack Development completed with Zoople Technologies, Kochi, gaining hands-on experience in full-stack architecture, backend and frontend development, and core software engineering workflows.
15-day internship covering Python programming and Data Science, including data structures, machine learning techniques, and projects such as a recommendation engine, interactive logic, and fake news detection.
Currently advancing coursework in high-dimensional vector embeddings, transformer architectures, asynchronous microservices, and audio acoustic processing.