Data Analysis for Life Sciences

This program is made up of four modules:

• Statistics and R
• Intro to Linear Models and Matrix Algebra
• Statistical Inference and Modeling for High-throughput experiments
• High-Dimensional data analysis

What you will learn:

• Basic statistical concepts and R programming skills for analyzing data in the life sciences.
• The underlying math of linear models useful for data analysis in the life sciences.
• The techniques used to perform statistical inference on high-throughput and high-dimensional data.
• Several techniques widely used in the analysis of high-dimensional data.