Emma Freeman

Emma is an instructor for the Data Science Immersive program at General Assembly where she teaches Python programming, statistics, and machine learning. Emma holds a Master’s degree in Environmental Science and has ten years of experience conducting data analysis for environmental science and policy. She has worked in environmental consulting, as a water policy researcher at the Public Policy Institute of California, as a data analyst collecting historical datasets from the Exxon Valdez oil spill, and as a research and collections associate at the Natural History Museum of Los Angeles County.

Previously (3):

Data Science Immersive

Make smarter decisions by gaining the data analytics, data modeling, programming and statistics skills you need to start a career in data.

Talk Data to Me

This monthly speaker series brings together industry experts to discuss how data is changing the way businesses run and people live.