Python Data Visualization Transcripts
Chapter: Welcome to the course
Lecture: Python check

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0:00 This course assumes basic python and pandas knowledge to get the most out of the data
0:05 visualization libraries will be discussing. You'll need to be able to install libraries on your system using pip or conda and once they're installed,
0:15 be familiar and comfortable importing those modules. The pandas will use it to read in CSV and Excel files as well
0:23 as group and aggregate data more generally from a python perspective,
0:28 you should be comfortable using dictionaries and lists and assigning values to variables as well as using an object oriented interface. Finally,
0:37 the code will be in Python 3.8 and using Jupyter notebooks. If you're not familiar with Python and Pandas and those examples,
0:46 I just walked through. I recommend 'Python for the absolute beginner' in the talk python
0:51 training series to get you up to speed on basic python skills. Once you're there, if you would like to learn more about pandas,
0:59 I recommend my course excelled a python at that point. You should have a strong foundation to really get the most out of this course.

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