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Have data you wish you could analyse to make informed decisions? Want to learn about putting Data Science in practice but don't know where to begin? You are in the right place! This workshop takes you through the entire Data Science pipeline - exploring data, creating hypotheses, using Machine Learning algorithms, proving and debunking hypotheses and finally, deriving insights from created models. We will be using popular tools in Python like Jupyter, pandas, sklearn and numpy to get a better understanding of the data.
Some amount of exposure to programming is required, especially knowledge of data structures like lists and dictionaries. Familiarity with Data Science tools is not required as that will be covered during the course of the workshop.
Grishma Jena is a Data Scientist with the UX Research Operations team under Cloud & Cognitive Software User Research and Design at IBM. She works across portfolios in conjunction with user research and design teams and uses data to understand users’ struggles and opportunities to enhance their experiences. Grishma earned her Masters in Computer Science at University of Pennsylvania, and her research interests are in Machine Learning and Natural Language Processing. Outside of IBM, she delivers talks and workshops at conferences and indulges in cooking in her free time.