Data is at the helm of technology in 2022, driving results through deep analysis and research. The new opportunities and challenges brought about by data-driven solutions necessitate organizations to evolve and adopt new technologies like Data Science and Machine Learning at a rapid pace.
Find out how you can evolve as a professional by mastering data science and machine learning with Monica Pampell, Health Science Analyst for the Office of Clinical Policy and Programs at FDA, U.S.
Also, have all your questions about the MIT IDSS' Data Science and Machine Learning: Making Data-Driven Decisions program answered as Monica talks about her experience and takeaways from the program.
This webinar will give you an insider’s perspective on the program curriculum, live mentorship sessions, cohort diversity, learning support, and more.
Agenda for the session
- Emerging trends that are creating demand for Data Science professionals
- Essential skills you need to excel as a Data Scientist
- Learning journey in the program
- Q&A session
About Speakers
Monica Pampell
Health Science Analyst, U.S. Food and Drug Administration
Monica Pampell is an experienced data scientist, working as a Health Science Analyst for the Department of Health and Human Services in the U.S. Food and Drug Administration. She plays a pivotal role in the development, fostering, and coordinating of cross-center initiatives involving the design and implementation of FDA policy related to medical product development and evaluation.
Data Science and Machine Learning: Making Data-Driven Decisions Program
The Data Science and Machine Learning: Making Data-Driven Decisions Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions.
