Gabriela is a Data Scientist with a Ph.D. in Biomedical Sciences who enjoys the challenges of solving complex problems, finding meaningful relationships within the data, and providing actionable recommendations and insights. Before joining NYC Data Science Academy, she was a scientist in the field of genetics, developmental and cell biology. She conducted research as a Postdoc at the University of Minnesota for 5 years, where she also gained teaching experience. Her scientific work has resulted in 7 publications in highly rated scientific journals. She cherishes spending time with her family, salsa dancing, yoga, rock climbing, and reading mystery novels.
A free introductory workshop to learn how to load, prepare, manipulate, and analyze data using Pandas.
...Discuss popular Python coding conventions and learn how to incorporate them into your work to increase your code's readability.
...Learn how to build a visually pleasant and user-friendly Shiny app to bring your data to life.
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