An analysis report on which majors are represented in the introductory data science course at UC Berkeley, Data 8.
An effort to parse student interview responses and establish a categorization methodology for personalities and student intentions in data science
A machine learning approach for scaling up our archetypes to accommodate more data.
Mapping of data science courses offered in diverse fields
Team Lead | Subhiksha Mani
Computer Science and Cognitive Science - 2019
I am passionate about data science because it complements my constant curiosity. Data-driven decision-making empowers me to ask important questions and use data to establish meaningful answers. I enjoy using data science to make an impact on students and education at Berkeley.
Fun Fact: In my spare time, I enjoy creatively documenting aspects of life, mainly through photography and digital journaling.
Shriya Vohra EECS - 2020 I love data science because it allows me to use my programming skills to find interesting patterns and make a difference – especially in education. When I'm not coding, I can be found meme-scrolling, telling stories, and/or traveling the world.
Shruti Rajagopal
Cognitive Science - 2018
I like data science because it can answer question is a broad spectrum of fields that were previously too hard to study. I am excited to provide diverse insights in an efficient and data-driven manner.
Fun fact: I love to cook and bake in my free time.
Smita Balaji Industrial Engineering and Operations Research - 2019 I find studying data science to be important because of its interdisciplinary and applicable nature. Any major, and any industry can utilize fundamentals tools to understand any sort of data set.