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+ | ====== Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Data Visualization ====== | ||
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+ | <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{: | ||
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+ | * Tuesday October 17, 2023 | ||
+ | * 9am - 10:30am | ||
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+ | </ | ||
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+ | <WRAP quarter column> <WRAP center round box 110%> {{: | ||
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+ | * Level 0 Auditorium, BW B4 and B5 | ||
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+ | <wrap indent></ | ||
+ | <wrap indent></ | ||
+ | </ | ||
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+ | <WRAP quarter column> | ||
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+ | <WRAP center round box 110%> {{: | ||
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+ | {{: | ||
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+ | <WRAP quarter column> <WRAP center round box 100%> | ||
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+ | <wrap em button> [[https:// | ||
+ | <wrap indent></ | ||
+ | <wrap indent></ | ||
+ | <wrap indent></ | ||
+ | </ | ||
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+ | <WRAP group> <WRAP third column> | ||
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+ | {{ : | ||
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+ | <WRAP center round box download 100%> | ||
+ | < | ||
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+ | * Slides: | ||
+ | * Datasets: | ||
+ | |||
+ | </ | ||
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+ | <WRAP center round box todo 100%> | ||
+ | < | ||
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+ | * Have KAUST IT credentials (i.e. the one you use to access your KAUST email) | ||
+ | * A computer (Linux/ | ||
+ | * Essential knowledge of Python is necessary (Pandas, Numpy libraries…) | ||
+ | * Have some experience with working with Conda package manager | ||
+ | |||
+ | </ | ||
+ | |||
+ | </ | ||
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+ | <WRAP twothirds column> | ||
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+ | ===== Overview ===== | ||
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+ | In the intricate landscape of data science, the ability to visualize data is not just an advantage—it' | ||
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+ | 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. | ||
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+ | For those keen to master the art of turning raw data into insightful plots and dynamic dashboards, this workshop provides an ideal entry point. | ||
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+ | \\ | ||
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+ | ===== Who Should Attend? ===== | ||
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+ | * Anyone with zero experience (or beginner/ | ||
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+ | * You are a programmer that wants to extend their skills into Data Science and Data Visualization to make yourself more valuable | ||
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+ | * Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field | ||
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+ | * You want to add value to your own business or company you work for, by using powerful Data Visualization tools and dashboards. | ||
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+ | |||
+ | \\ | ||
+ | ===== Agenda ===== | ||
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+ | ^Time ^Topic | ||
+ | ^9:00am - 9: | ||
+ | ^9:10am - 10: | ||
+ | </ | ||
+ | |||
+ | ---- | ||
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