Data Science Immersive

Collect, extract, query, clean, and aggregate data for analysis. Gather, store and organize data using SQL and Git. Perform visual and statistical analysis on data using Python and its associated libraries and tools. Craft and share compelling narratives through data visualization. Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more. Compile clear stakeholder reports to communicate the nuances of your analyses. Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions. Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

During the 2020 hiring shutdown, General Assembly's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising.