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Emma Freeman

Data Science Immersive Instructor, General Assembly

Los Angeles

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.

Upcoming:

Talk Data to Me

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.

15
Wed, 15 November 6:30 - 8:00pm PST

Previously (3):

Talk Data to Me

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.

2 Times

Data Science Immersive

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.

Teach at GA

Join our talented instructor team dedicated to transforming thinkers into creators.

Find Out More