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training:ds:2025:introtodatavis_docker [2025/08/30 10:59] – Abdelghafour Halimitraining:ds:2025:introtodatavis_docker [2025/09/07 07:37] (current) – Abdelghafour Halimi
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 <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>
  
-  * Monday October 27, 2024+  * Monday October 27, 2025
   * 2pm - 4pm   * 2pm - 4pm
  
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 <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>
  
-<wrap em button> [[https://kaustforms.formstack.com/forms/introduction_to_data_visualization___docker_fall_2024|Register Here!]] </wrap> \\+<wrap em button> [[https://kaustforms.formstack.com/forms/introduction_to_docker_fall_2025|Register Here!]] </wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
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 ===== Overview ===== ===== Overview =====
  
-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.+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 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. 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.
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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>