Solidify your biotech skills with in-demand bioinformatics
skills that make you relevant in this genomic revolution.
Python and R are the most demanded programming languages in bioinformatics. This course is a deep dive into coding for life sciences. We end with a quick project that brings life science data analytics skills to life.
Functional genomics is designed to help you dive deep and master the entire Next Generation Sequencing (NGS) landscape quickly. Master Python, R/Bioconductor, Unix and Git for NGS Data analytics.
Learn how to analyze and generate insights from WGS and WES datasets. Identify genomic variants from population datasets and discover biomarkers from gene expression datasets.
Learn the process of accelerating drug discovery with bioinformatics and machine learning. We will start from initial target/biomarker discovery to final candidate submission for pre-clinical trials.
Here, you will learn to manage software, data and pipelines using UNIX operating system. Learn about the technical implementation of the UNIX operating system & Linux administration for life sciences data science.
HackBio offers flexible and remote bioinformatics learning opportunities. All our programs are designed to gently immerse you into the deep basics of bioinformatics and rapidly transform your coding, data analytics skill-sets.
By the end, you would be experienced and confident enough to take academic and industry roles. Read our 2021-Q1 industry report
"... the content is well curated and properly structured... The approach is that you really have to solve bioinformatics problems rather than just the theoretical concepts."
John GITAU (UoNairobi, Kenya)
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