Develop and master the skills and coding technologies required for analyzing and visualizing processed scientific data using modern analysis technologies.
The workshop has 5 stages
Stage 0 is focused on mastering a programming language. In practice, this could be either be Python or R.
Stage 1 is dedicated to applying your programming skills to solve simple to intermediate problems in biotechnology including molecular biology, genetic engineering, biochemistry, microbiology, genomics, physiology, pharmacology etc.
Stage 2 is where learners reproduce existing data science pipelines, tutorials, projects and dashboards.
Stage 3 is focused on your final project (see page 5). You will work with a team to solve interesting bioinformatics tasks. An initial progress update is expected towards the end of the week
Stage 4 is dedicated finalizing your project. A detailed report (including technical language) must be published on medium.
Regardless of your competence, our projects improve transferable and technical skills to fast track your biotech journey.
Collaborate with fellow researchers and mentors around the globe with the biggest tools (Cloud HPC, Google Research, GitHub).
Access to more than 2000 data resources, learning materials and softwares.
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