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Dive into the world of data analysis with this comprehensive tutorial on using Pandas, presented by Stefanie Molin, a data scientist and software engineer at Bloomberg. Learn how to tackle challenging data problems, from gathering and manipulating data to extracting valuable insights. Explore the power of Pandas in Python for working with tabular data, performing analysis, and creating visualizations. Gain hands-on experience with data collection, manipulation, aggregation, and visualization techniques. Discover how to leverage matplotlib for custom layouts and annotations, and get introduced to seaborn for additional plotting capabilities and long-format data visualization. By the end of this 1 hour and 48 minute session, acquire the essential skills to effectively use Pandas and streamline your data analysis process.
