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 many 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 below.

GitHub

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

Data Science for Beginners

This video overviews 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-specific information on Ibex

Ibex Starting Pack

Welcome to KAUST! As a new user, especially if it's your first time, here are some essential resources to get you started:

1. Ibex 101: Begin with the Ibex 101 slides and demos. These will introduce you to all the resources and commands available in the cluster. This foundational knowledge will be referenced frequently.

2. Ibex Training: Explore our detailed documentation on various topics, including Data Science, for more comprehensive information. Be sure to check out these wikis:

1. Ibex User Guide
2. Data Science User Guide

3. KAUST Visualization YouTube Channel: Visit our YouTube channel here for many tutorials on data science workshops and more. These videos are beneficial, covering the best practices for installing libraries and coding with Ibex.

4. KAUST Visualization Core Lab: Dive into the resources provided by the KAUST Visualization Core Lab for additional support and learning opportunities.

These resources will equip you with the knowledge and skills to maximize your time at KAUST. We hope this docuwiki page is helpful! Please let us know if you have any questions. Happy learning!