Data Science Tools User Guides

Overview

Data science is a field that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. It is a rapidly growing field with a wide range of applications, including business intelligence, healthcare, finance, and marketing.

The KAUST Visualization Core Lab (KVL) is hosting several hands-on workshops as part of ongoing efforts to build capacity in core data science skills at KAUST and in the Kingdom. We try to make all the material available on several channels like the ones you will find below

GitHub

Our GitHub repository contains code and data for various data science projects. For more material, you can also check the Kaust RCCL GitHub.

Confluence

Our Confluence page contains recipes and other resources for data scientists.

YouTube Videos

We have made several YouTube videos about data science. You can them here.

Data Science for Beginners

This video provides an overview of how to use the HPC clusters to start your data science projects. And this video will guide you to setup your Windows machine for data science.

Data Science Tools and Technologies

We have several tools to help you start your Data Science project at KAUST. KAUST Students, Faculties, Researchers & Staff,You can access JupyterHub as well as the Remote work stations with your KAUST Credentials

• Binder (small resource and open to the public)
• JupyterHub
• Remote workstations (you have to request the service the first time you use it here)

Data Science Workflow

This video walks through the data science workflow, from data collection to data analysis to model building.

We hope this docuwiki page is helpful! Please let us know if you have any questions.