Qingqing Gan is a data scientist working for Microsoft. Since joining Microsoft in 2009, she has worked in different roles, including Applied Researcher, Software Development Engineer, and currently Data Scientist. She enjoyed finding the unknown in massive data sets and building algorithms to uncover new insights. During her time in Microsoft, she has worked on all sorts of big data-related projects, such as recommendation system on news headlines, user clustering, relevance and ranking, etc. Qingqing got her Ph.D. from New York University Tandon School of Engineering. Her research was focused on the fields of data mining, Web search engines, and machine learning. She has 14 years of hands-on experience in developing and applying machine learning and data mining algorithms to solve complex problems with massive and high-dimensional data sets.
Intro to Data Science
What exactly is Data Science and why does it matter? This class is designed to give newcomers some clarity into how data scientists add value to any organization.
Data Science Immersive
Make smarter decisions by gaining the data analytics, data modeling, programming and statistics skills you need to start a career in data.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.