Emma Freeman
Data Science Immersive Instructor, General Assembly
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
This monthly speaker series brings together industry experts to discuss how data is changing the way businesses run and people live.
Previously (3):
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
Make smarter decisions by gaining the data analytics, data modeling, programming and statistics skills you need to start a career in data.