The third data exploration exercise introduces students to metabolomics data and visualization of metabolite abundances on metabolic networks. The Jupyter notebook utilizes the escher tool to visualize metabolic flux (or the movement of metabolites through metabolic pathways) and how this flux changes when specific genes are "deleted" or removed from the genome. Gene deletion can quite literally mean that specific genes are deleted or it can be the effect of deleterious mutations that cause a loss of function for the protein product. In this workflow, students are able to model the impact of these genetic and molecular aberrations on the pathways that they learn within the course. This data exploration module was introduced to students after they received four lectures on metabolism, glycolysis, the citric acid cycle, gluconeogenesis and glycogen storage reactions (Supplementary Table ). In this Jupyter notebook (Figure ), the students learn about Flux Balance Analysis 28 (FBA) and learn how to generate different models of cellular growth for Escherichia coli (E. coli) bacteria models after specific metabolic genes have been knocked down. This gives students a way to practice and understand what an essential gene is and how the loss of this gene can impact a pathway, and ultimately the growth and viability of a cell. Students are also given the opportunity to work with metabolomics data from a study that engineered E. coli to produce different biofuel molecules through genetic and metabolic engineering. Using real growth rate data from E. coli grown in different nutrient conditions, students can observe how gene deletions can impact the cell in certain growth conditions (i.e. certain nutrient conditions) but not in others. Working with time course metabolomics data, students learn to plot data for metabolite abundances over time and compare these series data across strains of E. coli that have been genetically modified in different ways. Students can form and then test their hypotheses about which strain most impacts the metabolism and why.