This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...

Applying convolutional neural networks on derived allele frequency data, leveraging efficient data reuse, and post-processing methods to perform fine-grained detection of selective sweeps.

The Certificate in Data Science provides you with the knowledge to draw conclusions on data reliably and robustly. Courses in Computer Science, Statistics and Management will teach you to implement an ...

Benefits Statistical Data Analysis When you perform statistical analysis in Excel, you unlock a powerful tool that can significantly enhance your data analysis capabilities. Excel is not just a ...

ANOVA analysis Experimental blocking Factorial designs Multilinear regression models Response surface methodology Analytical chemistry methods Prerequisites An undergraduate statistics course.

You will prepare and review analytic protocols as well as analyze these data from conceptualization through written presentation for academic, policy, and community audiences. You must be ...

Our research group develops modern and efficient multivariate statistical methods tailored for different types of multivariate data, such as time series, spatial data, spatio-temporal data, or ...

Mediation analysis examines what variables may lie on the causal pathway between an exposure and an outcome. Mediation models are useful for understanding aetiology, providing evidence to confirm and ...