Webinar: Data Science for Geosciences: Analytics
Channel: Deep Carbon
Date: 09/08/2018

Hosted by Anirudh Prabhu, Rensselaer Polytechnic Institute, USA

The last 30 years have seen a revolution in the development and availability of big data resources in different geoscience fields, such as EarthChem, NavDat, mindat.org and Paleobiology Database. The increase in the volume, variety, and velocity of data make it very important for geoscientists to know methods and techniques in data management and analytics.

In this webinar, Anirudh Prabhu uses real-world geoscience use cases in Jupyter Notebooks to demonstrate methods to recognize and apply quantitative algorithms and techniques, and interpret the results.

Resources:

1. Visit Anirudh's GitHub repository for additional materials including instructions, datasets, and presentation slide deck: https://github.com/anirudhprabhu/DCO-Webinar-Analytics

2. Previous DCO data science webinars: https://deepcarbon.net/webinars 

3. DCO Jupyter Notebook login page (registration required): https://jupyter.deepcarbon.net/hub/login 

The slides in this talk are directly transformed from a Jupyter notebook file using the notebook extension called RISE https://github.com/damianavila/RISE