About My Data+ Experience
“In addition to honing my skills in R and Python, I’ve become more familiar with the concepts behind statistical tools such as sentiment analysis, topic modeling, time series analysis, and machine learning classification. Presenting to my Data+ peers enabled me to practice effectively communicating my research. Furthermore, the talks from both peers and companies introduced me to tools and languages, such as deep learning and Tableau, that were beyond what I already knew.
Data+ broadened my perspective on Data Science research. Understanding other groups’ presentations showed me the intricacies behind a project consisting entirely of data mining or data visualization. Working on a project that is more applied ‘analytics’ as opposed to pure ‘research’ pushed me to focus on and present tools that have time-saving or fundraising value. All in all, Data+ enabled me to see ways by which analyzing data transforms our understanding of all fields, from the humanities to natural sciences.”