NIH Webinar Series Teaches Data Science

by Bethany Drehman, FASEB

This fall, the National Institutes of Health Big Data to Knowledge (BD2K) initiative launched a weekly webinar series on the “Fundamentals of Data Science.” The virtual lectures provide an introduction to key aspects of data science, from data management to computation, statistical inference, and databases. The series assumes no prior knowledge or proficiency in data science and is presented by experts from around the world. To view archived lectures or tune in to the live webcast each Friday at noon (E.T.), visit the BD2K Training Coordinating Center webpage.

2016 Lecture Schedule:

  • 09/09/16 – INTRODUCTION to Big Data and the Data Lifecycle (Mark Musen, Stanford)
  • 09/16/16 – SECTION 1: Data Management Overview (Bill Hersh, Oregon Health Sciences)
  • 09/23/16 – Finding and Accessing Datasets, Indexing, and Identifiers (Lucila Ohno-Machado, UCSD)
  • 09/30/16 – Data Curation and Version Control (Pascale Gaudet, Swiss Institute of Bioinformatics)
  • 10/07/16 – Ontologies (Michel Dumontier, Stanford)
  • 10/14/16 – Provenance (Zachary Ives, Penn)
  • 10/21/16 – Meta Data Standards (Susanna-Assunta Sansone, Oxford)
  • 10/28/16 – SECTION 2: Data Representation Overview  (Anita Bandrowski, UCSD)
  • 11/04/16 – Databases and Data Warehouses, Data: Structures, Types, Integrations (Chaitan Baru, NSF)
  • 11/11/16 – No Lecture: Veteran’s Day
  • 11/18/16 – Social Networking Data (TBD)
  • 12/02/16 – Data Wrangling, Normalization, Preprocessing (Joseph Picone, Temple)
  • 12/09/16 – Exploratory Data Analysis (Brian Caffo, Johns Hopkins)
  • 12/16/16 – Natural Language Processing (Noemie Elhadad, Columbia)
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