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Hierarchical relational data analysis using python

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By the end of this project you will learn how to analyze Hierarchical Data. we are going to work with a dataset related to Mexico toy sales. The dataset contains some hierarchical data about different products sold in different stores in different cities in Mexico. we are going to load this data and after some preprocessing steps, we are going to learn how to analyze this data using different visualization techniques. During this project we are going to learn about a very important concept called Data Granularity. And we will also learn how to use different levels of granularity to answer some analytical question. and at the end we are going to talk about Treemaps and Sunburst Diagram, two handy visualization techniques used for hierarchical data.

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Unlock the power of data with our specialized course in hierarchical relational data analysis using Python. Focused on IT & Computer Science, this professional-level course provides an in-depth exploration of hierarchical data analysis through a practical project centered around Mexico's toy sales data. Guided by expert instructors from Coursera, you'll embark on a comprehensive journey, starting from loading and preprocessing the dataset to employing various visualization techniques. Key concepts such as Data Granularity will be thoroughly covered, along with analytical methods to answer complex questions using different levels of granularity. The course culminates with a deep dive into Treemaps and Sunburst Diagrams, essential tools for visualizing hierarchical data. Designed for professionals seeking to enhance their data analysis skills, the course spans 120 minutes and is available through a Starter subscription. Whether you're looking to advance your career or refine your expertise, this course offers valuable insights and hands-on experience with hierarchical data analysis in Python. Join us and take the next step in your data science journey!