MSDS Webinar: The Importance of Statistics in Data Science

Similar to how the assembly line used technology to revolutionize the capacity to produce items on a larger and more frequent scale, computing has done the same for data analysis, leading to the birth of data science. This webinar will explore the statistical roots of data science and how it plays a major role in the world of big data. Additionally, fundamental statistical models, their application in modern data science, and the use of statistics in drawing high-quality insights and data validation will be discussed. This content will be useful for those at all levels of statistics and math training, although no prior knowledge of statistics is needed to attend. This presentation is brought to you by the MS in Data Analytics online degree program at CUNY School of Professional Studies. PRESENTER: Jennifer Shin is the Founder of 8 Path Solutions, a data science, analytics, and technology company and Senior Principal Data Scientist at The Nielsen Company. She is an experienced data scientist and management consultant who has led complex, large scale, and high profile projects for corporate, public, and private clients, including GE Capital, the Carlyle Group, Fortress Investment Group, the City of New York, and Columbia University. A recognized thought leader, she has been named an IBM Big Data & Analytics Hero, IBM Industry Influencer, and MongoDB World Female Innovator and has spoken at numerous conferences, meet-ups, and industry events. Jennifer is on the faculty of the data science graduate program at UC Berkeley program, on the Advisory Board for the MS in Data Analytics program at CUNY SPS, and on the Data Science Committee for the Grace Hopper Conference. She has an undergraduate degree in Economics, Mathematics, and Creative Writing and a graduate degree in Statistics from Columbia University.