The author of "Data and Analytics in School Education" is a PhD holder, an accomplished researcher and publisher with a wealth of experience spanning over 12 years. With a deep passion for education and a strong background in data analysis, the author has dedicated his career to exploring the intersection of data and analytics in the field of school education. His expertise lies in uncovering valuable insights and trends within educational data, enabling educators and policymakers to make informed decisions that positively impact student learning outcomes.
Throughout his career, the author has contributed significantly to the field of education through his research studies, which have been published in renowned academic journals and presented at prestigious conferences. His work has garnered recognition for its rigorous methodology, innovative approaches, and practical implications for the education sector. As a thought leader in the domain of data and analytics, the author has also collaborated with various educational institutions, government agencies, and nonprofit organizations to develop effective strategies for leveraging data-driven insights to drive educational reforms and enhance student success. His expertise and dedication make him a trusted voice in the field, and "Data and Analytics in School Education" is set to be a seminal contribution that empowers educators and stakeholders to harness the power of data for educational improvement.
"Data Science in Action: Project Ideas, Methodology, and Python Codes in Health Care" is a pioneering guide at the crossroads of technology and healthcare, unveiling the transformative potential of data science in revolutionizing patient care. Through a lens of practical implementation, this book explores diverse projects, ranging from ailment prediction and chronic disease management to behavioral health and drug discovery. The reader is guided through the intricacies of Python codes, ensuring hands-on proficiency in translating data science concepts into actionable insights. Each chapter unveils innovative applications, from predicting Alzheimer's disease progression to customizing diabetes management plans. With a focus on elder care and aging, the book presents projects designed to enhance the well-being of the elderly through adaptive technologies. This comprehensive resource is a beacon for data scientists, data analysts, students, professionals and enthusiasts, offering a roadmap to harness the power of data for a future where technology and empathy converge to redefine healthcare.
Título : Data Science Project Ideas in Health Care
EAN : 9798223903031
Editorial : Dr. Zemelak Goraga
El libro electrónico Data Science Project Ideas in Health Care está en formato ePub
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