Skill building opportunities for graduate students

Published Nov. 04, 2020
Updated Oct. 18, 2021

As a graduate student at ASU, you may find yourself working in a research lab or a major project sponsored by a national funding agency but you may not always start a project with the skills you need to be efficient and successful. Here are a couple of opportunities both in and outside of ASU to give you extra research superpowers.

ASU Library Data Science and Analytics

Learn the ins and outs of data science, and get connected with experts, collaborators, and compelling projects at the ASU Library Data Science Open Lab which repeats every other Wednesdays on November 4th and 18th 2020. On November 17th the fourth and last session of their “Introduction to Python” workshop. Miss any of the previous workshops or need a refresher; no worries, the center provides the resources you need once you register for the event. On November 18th join them for an “Introduction to Machine Learning” to learn the concepts of machine learning, using a computer to perform a task. All sessions are virtual. Information and registration information on the Data Science Open Lab Event page.

Webinars from outside ASU

The library and research community recognize the critical role graduate students play in the research process across disciplines. The next DataOne webinar “What we wish we had learned in Graduate School - a data management training roadmap for graduate students.” As the description notes, “Data management training for graduate students is a very important but often undervalued area of graduate school education. Many graduate students will go on and become professionals who are using, producing, and/or managing data that have tremendous benefits for both the research community and society.  This session covers the data lifecycle and data management training which typically are not part of the core curriculum in graduate school.” The session is part of the ongoing DataOne Webinar Series “with discussions on open science, the role of the data lifecycle, and achieving innovative science through shared data and ground-breaking tools” on the 2nd Tuesday of every month at 9 am Pacific/12 pm Eastern.