Computer coding in science
To be a successful scientist in academia it is no longer sufficient to be good at science. In addition to expertise in experimental methods and data analysis, scientists must also excel in public speaking and writing. Furthermore, scientists must be able to successfully network to form and maintain beneficial inter-institutional collaborations. Proficiency in computer coding has arguably become one of the most important skills a researcher needs in science today. There are a number of reasons for this, chief among them is, as a consequence of advances in tools and technology, researchers are now collecting and working with larger datasets. These datasets require computing coding and machine learning steps for unbiased, large-scale analysis.