Title: A Cloud-Based Data Science Workflow

Date/Time: August 27, Thursday, 11:00 AM – 12:00 AM EST.

Abstract: Data science tools have been evolving faster than ever before. This has been heavily influenced by the growing popularity of cloud-based tools. In this talk, I will provide an overview of tools and techniques that can improve both the learning experience of the students and the instructor’s ability to manage the class and materials. I will also focus on the tools that can boost one’s research. Cloud based machine learning tools, storage solutions, and databases will be covered. Among a vast space of competitive solutions, I have decided to utilize Google Cloud as the primary platform. Google Colaboratory (Colab) will be introduced as a solution to run and share the code. Beyond Colab, I will also present most popular data science tools on Google Cloud Platform (GCP). In addition to the essential elements of GCP, I will cover ways to tackle big data problems using Hadoop and Spark, as well as utilizing containerized applications for large scale parallel processing.

Bio of the speaker: Mohammad Soltanieh-ha is a Clinical Assistant Professor at the Information Systems department at Boston University’s Questrom School of Business. Mohammad obtained his Ph.D. in computational physics in 2015 from Northeastern University where he studied strongly correlated electronic systems in low dimensions. His current research interest revolves around computer vision applications in automating cancer diagnosis as well as large-scale high-performance computing. His teaching experience includes data science programming, big data analytics, and applications of data science in business. Mohammad has leadership roles at Google and American Physical Society (APS). In 2019, he founded a data science unit within the American Physical Society and is currently the past chair. Additionally, he is a Faculty Expert at Google Cloud, where he advocates for cloud computing education and helps other faculty members with best practices.

Here is the registration link: https://libcal.dartmouth.edu/calendar/itc/2020DSAIW9

** Registrants will receive the zoom link one day before the webinar (August 26, 11:00am EST)