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The Advanced Data Visualization Techniques program is crafted to deepen the understanding and application of data visualization tools among advanced scholars and professionals. This course focuses on the practical and strategic use of Pandas, Matplotlib, and Seaborn, with a specialized emphasis on healthcare data, providing participants the skills to visualize complex datasets and communicate findings effectively.
This program aims to equip PhD scholars and academicians with unparalleled expertise in data visualization using Pandas, Matplotlib, and Seaborn, tailored specifically for healthcare data. The curriculum is designed to foster advanced analytical skills, enhance visual storytelling capabilities, and prepare participants to lead data-driven decisions in research and clinical environments.
Targeted at professionals and academics with a background in data science, biostatistics, or healthcare analytics, this program requires foundational knowledge in Python programming and basic statistics.
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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