
Who you’ll meet: Data Scientist/Analysts skilled in gathering, storing, and organizing your data using a basic data science toolkit: SQL, Git, and UNIX. Data grads can perform visual and statistical analysis on data using Python and its associated libraries and tools, explore the differences between supervised and unsupervised learning through the application of various modeling techniques such as classification, regression, and clustering, and apply analysis and modeling skills to real-world data problems in fields like finance, marketing, and public policy.