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Your Journey into Bioinformatics Starts Here

Just like our bodies’ cells carry intricate genetic codes, the world of bioinformatics holds profound insights waiting to be decoded. We invite you to embark on a new adventure that bridges the gap between biology and data science.

It’s time to explore

Hyperskill’s new track: Data Analysis in Bioinformatics is here.

At its core, this track is not just about becoming familiar with Python syntax or writing scripts to solve problems. It’s about enabling you to untangle the complex knots of biological data and reveal the patterns hidden within.

A study published in PLOS Computational Biology underscores the importance of such computational skills, stating that “bioinformatics and computational biology…are becoming essential to much of life science research”. What once was a niche field has now gained huge momentum, with the global bioinformatics market projected to reach $21.8 billion by 2026.

What to expect


Through the power of data visualization, we’ll teach you to paint a vivid picture of your findings. Don’t be daunted by the scale of this venture. Remember, every expert was once a beginner. Our track is designed to cater to all — whether you’re dipping your toes into the world of programming or an experienced coder looking to diversify your skill set. You’ll start with the basics and steadily progress to tackle advanced problems, building your expertise and confidence along the way.

By the end of the journey, you’ll not only be equipped with a broad understanding of data processing principles in Python but also have hands-on experience solving specific biological or laboratory problems.

So, are you ready to put on your explorer’s hat and venture into the world of bioinformatics?

Welcome aboard the Hyperskill’s Data Analysis in Bioinformatics track.

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Wide range of learning tracks for beginners and experienced developers
Study at your own pace with your personal study plan
Focus on practice and real-world experience
Andrei Maftei
It has all the necessary theory, lots of practice, and projects of different levels. I haven't skipped any of the 3000+ coding exercises.
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