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Manipulating DataFrames with pandas

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  • 20 Videos
  • 76 Exercises
  • 4 hours 
  • 857 Participants
  • 6350 XP

Instructor(s):

Continuum Analytics
Continuum Analytics

Dhavide Aruliah is Director of Training at Continuum Analytics, the creator and driving force behind Anaconda—the leading Open Data Science platform powered by Python. Dhavide was previously an Associate Professor at the University of Ontario Institute of Technology (UOIT). He served as Program Director for various undergraduate & postgraduate programs at UOIT. His research interests include computational inverse problems, numerical linear algebra, & high-performance computing. The materials for this course were produced by the Continuum training team.

Collaborator(s):

Hugo Bowne-Anderson Hugo Bowne-Anderson

Yashas Roy Yashas Roy

Course Description

In this course, you'll learn how to leverage pandas' extremely powerful data manipulation engine to get the most out of your data. It is important to be able to extract, filter, and transform data from DataFrames in order to drill into the data that really matters. The pandas library has many techniques that make this process efficient and intuitive. You will learn how to tidy, rearrange, and restructure your data by pivoting or melting and stacking or unstacking DataFrames. These are all fundamental next steps on the road to becoming a well-rounded Data Scientist, and you will have the chance to apply all the concepts you learn to real-world datasets.