Pandas library for data science (All in One)

Pandas library for data science (All in One)

Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. That mostly happen because many use graphical tools such as Excel to process their data. However, if you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project. This course will show how Python can be used to manage, clean, and organize huge amounts of data.

By the end of this course, you will be able to apply all majority of Data analysis function on various different datasets with built in function available in pandas

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