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Great Learning collaborates with MIT Professional Education to offer Applied Data Science Program
April 19, 2021 GMT
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BOSTON, April 19, 2021 /PRNewswire/ Great Learning, a leading global ed-tech company for professional and higher education, announces the launch of MIT Professional Education’s Applied Data Science Program with curriculum developed and taught by MIT faculty, and delivered in collaboration with Great Learning. The comprehensive curriculum for the twelve-week program will be delivered on weekdays, followed by sessions over the weekends by Great Learning mentors and industry experts.
Posted February 22nd, 2021 at 1:16 pm
Since the fall, Trang Duong 22 has worked as a researcher with Oxford University’s Clinical Research Unit (OUCRU), which is modeling COVID-19 cases and transmission in her home country of Vietnam.
Trang, a math major who is also planning to minor in data science, had been doing her own research on COVID-19 in the summer and, looking for a more formal role, found a data scientist on LinkedIn who is part of the Oxford research unit. I messaged him to learn more about his work. After our chat, he offered me an interview with the head of mathematical modelling at OUCRU and I got an internship offer, she explains. And while the internship ended in January, Trang has been kept on as a research assistant.
, was published by Cambridge University Press in 2018.
Thanks for taking the time to chat. For those who are unfamiliar with your work, can you briefly describe your research background?
Sure. My expertise really has to do with interpersonal interactions in terms of how people communicate about politics, whether that s in face-to-face interactions or interactions on social media. I m most interested in the social dynamics of those interactions, thinking about how the psychological and physiological experience of those sorts of conversations affect what people say and how they behave in interactions. Then, in the social media space, I am interested in how they interpret other people s political identities and choose to express their own.