Dive into DEEP with Rice’s Data Science Club

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Shreya Jindal / Thresher
Nishanka Kutur September 27, 2022 at 11:02pm
The Data Education and Exploration Program is an annual data science showcase competition held by the Data Science Club of Rice, open to all levels of coding experience.
According to Data Science Club President Vinay Tummarakota, the program consists of a semester-long series of workshops, with lessons taught by senior Data Science Club students of the curriculum and mentors practicing the skills they learned the previous week. Alternate application style workshops to help students apply. Over the course of the fall semester, student teams will develop projects on selected datasets that will eventually be presented in a final showcase.
“[Students] start with import [their] Tummarakota, a fourth-year student at Hansen University, said: “Each of our workshops is really designed to target each of these different skills within the process, and over the course of the process, each student actually builds a data science project from scratch. I’m here.”
Melody He, a sophomore at McMurtry College, first came to Rice University with an interest in studying math and computer science, but learned more about data science last year and heard feedback from friends who had previously attended DEEP. decided to participate in DEEP this year. program.
“i like that [DEEP gives] lots of guidance. “They do a lot of workshops that cover the basics and then you take the workshops and apply them to your own datasets,” he said. I think it’s a very good process.”
According to He, her group is studying a data set on thyroid disease and hopes to gain more experience in data science analysis and coding.
“Learning more about thyroid disease and the intersection of data science and healthcare is very exciting to me,” he said.
DEEP not only strengthens skills in the field of data analysis, but also serves as a useful introduction for students with no prior knowledge of data science.
Caleb McKinney, a sophomore at Will Rice College, said he had no data science experience before joining the program as a freshman.
“A lot of people had AP stats in high school. [class]So I came to DEEP without knowing anything about statistics or data science,” says McKinney. “Computer He wanted to major in science, [didn’t know] what i wanted to do with it. Data science was such a popular path that I really wanted to explore it. ”
DEEP also helps prepare students for future opportunities inside and outside the data science club. His Grace Wang and his McKinney, sophomores at Sid Richardson College, returned as mentors this year after a good experience last year and found their experience at DEEP useful in the context of other data science roles. said he did.
“I was in a research position at the Rice Neuroscience Institute this summer,” McKinney said. “Really recommended [DEEP], it fits my research role and I think I’m ready. ”
Wang says he did data analysis as an intern at the Wellbeing and Counseling Center last spring semester and is now analyzing data at the Warmflash lab in Rice.
“My DEEP experience got me interested in real-world applications of data,” said Wang. “The data itself is too discrete. I really like seeing concrete results and I want to know what more I can get from my analysis, so I went to a computational biology lab.”
Working with DEEP can also provide guidance to students seeking to understand their academic interests. His sophomore at Sid Richardson, Manasvi Paturu, says DEEP made him realize that the science of data wasn’t his passion.
“I must [gain] Have data science experience and decide if you like it [the subject] I gained experience in giving presentations at the final showcase,” said Paturu. “I also met a great mentor.” [who] I’m still a friend and ask questions not only about data science and DEEP, but also about computer science and anything I need help with. ”
In particular, no previous coding experience is required to participate in DEEP. Tummarakota emphasized the importance of availability of STEM information and said his DEEP policy reflected this accessibility.
“If you look at many other organizations, especially in the STEM context on campus, there are a lot of barriers to entry,” Tummarakota said. “I think it’s a really big benefit to be able to make this information available free of charge to anyone who’s interested because, ultimately, that’s what a university environment should be.”
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