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training:ds:2023:introtodatavis [2023/08/17 06:45] – Abdelghafour Halimitraining:ds:2023:introtodatavis [2023/10/12 10:49] (current) – Abdelghafour Halimi
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-====== Artificial Intelligence Workshop Series ~ Introduction to Data Visualization ======+====== Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Data Visualization ======
  
 <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs> <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs>
  
-  * Sunday October 1, 2025 +  * Tuesday October 17, 2023 
-  * 1pm - 3:30pm+  * 9am - 10:30am
  
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 <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs>
  
-  * Building 5, Level 5, Room 5209+  * Level 0 Auditorium, BW B4 and B5
  
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 <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs>
  
-{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} James Kress \\ {{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\ {{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} james.kress@kaust.edu.sa </WRAP> </WRAP>+{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Abdelghafour HALIMI \\ {{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\ {{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} abdelghafour.halimi@kaust.edu.sa </WRAP> </WRAP>
  
 <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1>  <fs:26px>** Register**</fs> <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1>  <fs:26px>** Register**</fs>
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- <fs:26px>** How to Prepare?**</fs>+ <fs:26px>** Pre-requisites**</fs>
  
-  * Review and download the workshop materials +  * Have KAUST IT credentials (i.e. the one you use to access your KAUST email) 
-  * Bring a laptop with VisIt installed +  * A computer (Linux/Windows/Mac) with internet connection & terminal 
-      * VisIt version 3.3.0 or newer is required for the workshop. You can download it from [[https://visit-dav.github.io/visit-website/releases-as-tables/#latest|https://visit-dav.github.io/visit-website/releases-as-tables/#latest]]. +  * Essential knowledge of Python is necessary (Pandas, Numpy libraries…) 
-  * Alternatively, you can use the IT provided [[http://myws.kaust.edu.sa/|remote workstations]] in case you do not have VisIt installed (you have to request the service the first time you use it [[https://kaustforms.formstack.com/forms/remote_workstation_account|here]])+  * Have some experience with working with Conda package manager
  
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 ===== Overview ===== ===== Overview =====
  
-Visualization experts from the laboratory will introduce [[https://visit-dav.github.io/visit-website/|VisIt]]- a highly-scalable, open-source, multi-platform data analysis and visualization application. VisIt users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D. Attendees will participate in a hands-on session working with VisIt to create 3D visualizations of scientific datasets.+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. 
  
-VisIt is an essential tool for scientific visualization, especially for large datasets. It is professional-quality, user-friendly software that is packed with advanced functionality. It was developed to analyze extremely large datasets (using distributed memory and parallel computing resources); but, its special super-power is that it grows with the user's data, running great on the laptop, the workstation, the cluster (Ibex), and the supercomputer (Shaheen). Visualization and analytic pipelines created in VisIt at the start of your project will continue to work efficiently even as the amount of data produced continues to grow.+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. 
  
-Join us to learn how to prepare data, automate visualizations, and scale your analysis from workstation to cluster to supercomputer.+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? ===== ===== Who Should Attend? =====
  
-The target audience for this workshop are KAUST users who are looking for a new scientific visualization solution and have little or no experience with VisIt or scientific visualization in general.+  * 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 ===== ===== Agenda =====
  
 ^Time  ^Topic  ^Speaker  | ^Time  ^Topic  ^Speaker  |
-^1:00pm - 1:10pm  |Welcome  |James Kress  | +^9:00am - 9:10am  |Welcome  |Abdelghafour Halimi  | 
-^1:10pm - 1:30pm  |Introduction to Scientific Visualization and the VisIt GUI  |James Kress  | +^9:10am - 10:30am  |Hands-On Session: Jupyter Notebooks Examples |Abdelghafour Halimi  |
-^1:30pm - 1:45pm  |Coffee Break – Download VisIt & data files  |   | +
-^1:45pm - 2:30pm  |Hands-On Session 1: basic plots / volume rendering  |James Kress  | +
-^2:30pm - 2:45pm  |Coffee Break  |   | +
-^2:45pm - 3:30pm  |Hands-On Session 2: screenshots / movies animations / & more  |James Kress  | +
-^3:30pm  |Q&A  |James Kress  | +
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