Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Data Visualization
Date
- Tuesday October 17, 2023
- 9am - 10:30am
Venue
- Level 0 Auditorium, BW B4 and B5
Organizer
Abdelghafour HALIMI
Visualization Core Laboratory
abdelghafour.halimi@kaust.edu.sa
Register
Workshop Materials
- Slides:
- Datasets:
Pre-requisites
- Have KAUST IT credentials (i.e. the one you use to access your KAUST email)
- A computer (Linux/Windows/Mac) with internet connection & terminal
- Essential knowledge of Python is necessary (Pandas, Numpy libraries…)
- Have some experience with working with Conda package manager
Overview
In the intricate landscape of data science, the ability to visualize data is not just an advantage—it's essential. This workshop is tailored to guide participants through the fundamental principles of data visualization, leveraging some of the most popular libraries in the field: matplotlib, seaborn, plotly dash, and streamlit.
The workshop promises an insightful blend of theory and practice, ensuring attendees can both comprehend and craft meaningful visual representations of data. Backed by the superior resources of the KAUST Visualization Core Lab, participants will experience a mix of comprehensive lectures and interactive sessions.
For those keen to master the art of turning raw data into insightful plots and dynamic dashboards, this workshop provides an ideal entry point.
Who Should Attend?
- Anyone with zero experience (or beginner/junior) who wants to learn Data Visualization in Data Science
- You are a programmer that wants to extend their skills into Data Science and Data Visualization to make yourself more valuable
- Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
- You want to add value to your own business or company you work for, by using powerful Data Visualization tools and dashboards.
Agenda
Time | Topic | Speaker |
---|---|---|
9:00am - 9:10am | Welcome | Abdelghafour Halimi |
9:10am - 10:30am | Hands-On Session: Jupyter Notebooks Examples | Abdelghafour Halimi |