Data Analysis and Exploration with Pandas [Video]

More Information
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
About

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.

Features
  • Enhance your data exploration and machine learning skills by gaining surprising insights from pandas and using expert tips and tricks.
  • Solve most complex scientific computing problems with ease using the power of pandas
  • Leverage fast, robust data structures in pandas to gain useful insights from your data
Course Length 5 hours 12 minutes
ISBN 9781789343205
Date Of Publication 7 May 2018

Authors

Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.

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