The abundance of raw data in biological sciences continues to grow year after year. The skills required to navigate and thrive in this field are no longer confined to the laboratory bench as experimental results go beyond simple analyses. This course will introduce basic tools used in the analysis of big data such as dimensional reduction, visualization, and machine learning. Students will get practical experience writing code to analyze example datasets. Preferably, EEB125H1 or GGR274H1
The abundance of raw data in biological sciences continues to grow year after year. The skills required to navigate and thrive in this field are no longer confined to the laboratory bench as experimental results go beyond simple analyses. This course will introduce basic tools used in the analysis of big data such as dimensional reduction, visualization, and machine learning. Students will get practical experience writing code to analyze example datasets. Preferably, EEB125H1 or GGR274H1
