BigData, Genes, and Medicine

BigData, Genes, and Medicine
at
Coursera
Overview

Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Big Data through real-life case studies & examples

Skills you will learn

What are the course deliverables?

Discuss business drivers for AI, as well as business and societal dynamics at work in an AI world
Discuss the key principles for building responsible AI, and learn what are the initial steps to take when planning your AI framework
Understand what ethics means and how to apply it to AI
Learn where to start, what considerations should inform your ethical framework, and what this framework should include
Review pan-industry initiatives on ethical AI
Discuss the drivers for open source to support AI
Review the technical and non-technical implications of AI

More about this course

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We'll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results
Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases.