📚About the Program
Non-degree in Data Science, Applications In Biology And Medicine With Python And R at University of Barcelona
To learn the basics of data science and study the most advanced statistical and computational techniques to become a data scientist. The core function of a data scientist is to extract information from complex datasets that may be useful for research in biological sciences (biology, biotechnology, biochemistry, etc.) and in medicine, and for business decision-making. As science goes into the digital age and continues to join the broader technology industry, the scope of data science needs is increasingly wide. Data scientists in this emerging space are regularly in charge of dealing with sophisticated problems, such as reducing the burden of repetitive tasks on biologists, biotechnologists, biochemists or doctors; developing platforms for high-performance genomic analysis; identifying new molecular targets for drug discovery; optimizing clinical trial procedures; analysing digital medical data to improve patient care and prevent the progression of a disease, to reduce mortality rates. Due to the rapid development of biomedical research, bio-scientists have shown the need to adopt concepts and tools from other areas, such as automatic learning, computational chemistry, engineering, mathematics, physics or biodiversity. The paradigm shift drives many initiatives in the field of life, health and information; among others, precision medicine, value-based healthcare, genomics or biomonitoring. On the other hand, the differences in the industry of life, health and technology tend to favour data scientists who understand the domain and its implicit challenges.
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