As a Biology pre-med, I made the mistake of thinking that coding was irrelevant to me. That changed when I took a biology class where we used R to analyze lab data. That was when I realized that coding (and the problem solving skills that come with it) is invaluable in research. It was difficult at first to jump into Data+, but doing this has benefited me a few ways.
My coding skills and machine learning knowledge had a huge leap. I learned how to better work in a team as well.
- Noah Lanier, Psychology ‘22
Human Activity Recognition using Physiological Data from Wearables
I learned a lot about data science and using code to manipulate data. I learned how to properly use a terminal, deep learning/machine learning, pandas, and many other skills. Also, I gained collaboration skills when it comes to developing code.
- Pavani Jairam, Physics ‘23
Finding Space Junk with the World’s Biggest Telescopes
I’ve learned to work through the entire process of a data science project, from assembling data sources all the way through presenting our findings. I’ve also developed insight into working in a team with people of different backgrounds and interests, which enabled us to contribute to the project in different ways. I’ve taken various lessons and hard skills that will carry with me into my future academic and professional endeavors.
Data+ absolutely changed my perception of data science research. Learning data science has been more intuitive than expected. There are also resources all over the Internet in addition to team members that are able to provide assistance when one is facing difficulty with an aspect of a project. Data science is also able to be applied to many more scenarios than I expected; I look forward to continuing data science research in the future.
I gained concrete skills in R and Tableau, the ability to collaborate in a virtual environment, and a better understanding of what data science actually means. I also got a glimpse into the public health field and got to learn what many different public health careers might actually entail.
I have gained a significant amount of knowledge of the cybersecurity industry and attack methods due to the nature of the background research I had to do for my project. In addition, I was able to apply my knowledge of statistical analysis to real data and learn new techniques to arrange data such as time series analysis.
Since I've never participated in research before, especially not research this independently oriented, the main thing I feel I've gained from this experience is confidence. I feel like I have a much better understanding of my own capabilities, and I honestly feel much less intimidated by the idea of pursuing research, not just in Data Science.
I learned a number of hard skills in terms of coding languages as well as some soft skills along the lines of working with a team and coordinating with a client.
- Benjamin Williams, ECE ‘21
ABOUT-US – A BOundary Update Tool for Utility Services
I definitely gained a lot of experience in R and in Tableau, but I also learned a ton about the fields of data science and public health. We had several interviews with community partners that helped me learn a lot about the different types of careers in data science, environmental advocacy, and environmental health.