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This session covers the foundations of working with data in real-world environments. We’ll walk through common data ingestion paths, pipeline structures, and how to connect different data sources for analysis. You’ll see how data is shaped and explored using tools like network analysis and time-series graphs, and how multiple connection options support different use cases. We’ll also introduce data enrichment and where it fits into modern data science workflows.

We invite anyone who would like to take part as a Contributor to please register through our Luma link and join our Luma channel. This allows us to welcome you into events with full participation access
https://luma.com/yxc2tmgb

Related topics

Artificial Intelligence
Machine Learning
Data Science
Predictive Analytics
Technology

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