STATISTICS: THEORY
STATISTICS IS THE ART OF LEARNING FROM DATA.
Last updated
STATISTICS IS THE ART OF LEARNING FROM DATA.
Last updated
Statistics is a crucial component of bioinformatics because it allows researchers to make sense of complex biological data and draw meaningful conclusions. In bioinformatics, data is often noisy and high-dimensional, and statistical methods help to identify patterns, test hypotheses, and make predictions with a high degree of confidence. Without a strong statistical foundation, it would be difficult to extract reliable insights from genomic, transcriptomic, or other biological datasets.
This module offers a comprehensive introduction to statistical learning, covering key concepts and methods that are widely used in data science and bioinformatics. It will further enhance your ability to understand and apply statistical techniques to complex datasets.
To ensure that you can effectively use these concepts, we’ve supplemented later modules with practical courses where you’ll perform statistical analyses. These practical sessions will build on the theory and programming basics you’ve learned earlier, providing hands-on experience in analyzing real biological data.
This module contains original content developed by Vahan Huroyan, PhD.
If you'd like to delve deeper into the foundations of statistics, you can also take this course from Stanford University:
