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training:ds:2025:introtodatavis_docker [2025/08/30 10:58] – Abdelghafour Halimitraining:ds:2025:introtodatavis_docker [2025/08/30 11:05] (current) – Abdelghafour Halimi
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 ===== Overview ===== ===== 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. +In the modern landscape of data science and software development, understanding Docker is no longer optional, it is essential. This workshop is designed to introduce participants to the fundamental concepts of Docker, containerization, and their practical applications in managing reproducible and scalable environments.
  
-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. +The workshop combines theoretical foundations with hands-on practice, ensuring attendees gain both the knowledge and skills to effectively build, run, and manage Docker containers. Participants will learn how to streamline workflows, improve portability, and simplify deployment of applications.
  
-For those keen to master the art of turning raw data into insightful plots and dynamic dashboards, this workshop provides an ideal entry point.+For those eager to adopt container-based solutions in their research, projects, or professional workflows, this workshop offers the perfect starting point.
  
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 ===== Who Should Attend? ===== ===== Who Should Attend? =====
  
-  * Anyone with zero experience (or beginner/junior) who wants to learn Data Visualization in Data Science+* Anyone with zero experience (or beginner/junior) who wants to learn Docker and containerization  
  
-  * You are a programmer that wants to extend their skills into Data Science and Data Visualization to make yourself more valuable+* Programmers who want to extend their skills into modern DevOps and cloud-native practices to make themselves more valuable  
  
-  * Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field +* Anyone who wants to learn from industry experts who not only teach but also apply Docker in real-world projects  
- +
-  * You want to add value to your own business or company you work for, by using powerful Data Visualization tools and dashboards.+
  
 +* Professionals or researchers who want to add value to their work or organization by using Docker to simplify deployment, ensure reproducibility, and scale applications efficiently  
  
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 ^Time  ^Topic  ^Speaker  | ^Time  ^Topic  ^Speaker  |
 ^2:00pm - 2:10pm  |Welcome  |Abdelghafour Halimi  | ^2:00pm - 2:10pm  |Welcome  |Abdelghafour Halimi  |
-^2:10pm - 3:00pm  |Hands-On Session: Jupyter Notebooks Examples |Abdelghafour Halimi  |+^2:10pm - 3:00pm  |Introduction to Docker |Abdelghafour Halimi  |
 ^3:00pm - 4:00pm  |Hands-On Session: Docker Examples |Abdelghafour Halimi  | ^3:00pm - 4:00pm  |Hands-On Session: Docker Examples |Abdelghafour Halimi  |
 </WRAP> </WRAP> </WRAP> </WRAP>