Troubleshooting Pandas

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Производитель:
Продолжительность: 
2 hours 30 minutes
Год выпуска:: 
2019
Video Description
Pandas is a powerful and popular scientific computing Python library for analyzing and manipulating data. Pandas is used to tidy messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
However, it also comes with a set of problems when used for the aforementioned tasks. So, if you're facing any issues in your analysis or visualization tasks, then this is your course.
With clear, simple, and unique solutions, this course will help you tackle any issues that you face while working with Pandas.
Style and Approach
The course is full of hands-on instructions, interesting and illustrative visualizations, and, clear explanations from a data scientist. It is packed full of useful tips and relevant advice. Throughout the course, we maintain a focus on practicality and getting things done, not fancy mathematical theory.

Table of Contents

IMPORT ALL SORTS OF DIRTY DATASETS INTO PANDAS

CUTTING THROUGH ALL THE IRRELEVANT DATA

CLEAN DATA AND FIX MISSING VALUES TO CREATE A HIGH-QUALITY DATASET

SLICING THROUGH NOISY DATA TO FIND HIGH-LEVEL GROUPINGS

TROUBLE WITH TIME SERIES DATA

EXPORT ERRORS AND PRESENTATION PROBLEMS

Тематика курсов :