Data Analysis and Exploration with Pandas [Video]

Data Analysis and Exploration with Pandas [Video]

Theodore Petrou

Get idiomatic solutions to common data problems while working on real-world datasets and get surprising insights from the pandas library
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Video Details

ISBN 13 9781789343205
Course Length 5 hours 12 minutes

Table of Contents

Video Description

Are you looking for a gigantic boost in your productivity? Are you searching for some interesting and fun tricks to solve your data problems? If so, then this course is indeed a perfect choice for you. This course provides you with unique, idiomatic, and amazing solutions for both fundamental and advanced data manipulation tasks with pandas.

Some solutions focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. A few others will delve into a particular dataset, and let you uncover new and unexpected insights along the way.

The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This course guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced solutions combine several different features across the pandas library to generate results.

The code bundle for the video course is available at - https://github.com/PacktPublishing/Data-Analysis-and-Exploration-with-Pandas

Style and Approach

This course includes interesting and illustrative examples and delivers very detailed explanations for each line of code in all of the examples. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data. In other words, this is an easy guide with a problem/solution approach for real-world datasets.

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What You Will Learn

  • Master the fundamentals of pandas to quickly begin exploring any dataset
  • Explore the most crucial and common operations that you will perform during data analysis
  • Build customized functions to apply to your groups.
  • Restructure and tidy data to make data analysis and visualization easier
  • Prepare real-world messy datasets for machine learning
  • Combine and merge data from different sources through pandas SQL-like operations

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Table of Contents

Video Details

ISBN 139781789343205
Course Length5 hours 12 minutes
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