MP4 | Video: AVC 1920×1080 | Audio: AAC 48KHz 2ch | Duration: 6H 10M | 6.98 GB
Genre: eLearning | Language: English
This course is aimed at teaching the fundamentals of data analysis with Python. The go-to module in Python for data analysis and manipulation is Pandas, which is built on top of other popular modules, such as NumPy. Pandas also works with many other data science modules, such as the machine learning framework, Scikit-Learn. The Pandas module allows you to import and export data in a variety of forms like csv, json, hdf, sql, and more. From here, Pandas helps you quickly organize this data into a columns and rows format, which is the same no matter what the input data format is. From here, you can manipulate entire columns, create new ones, apply functions to data points, perform statistical analysis, and more.
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