Fundamentals of Pandas

Course details

Pandasis an open sourcelibrary providing high-performance, easy-to-use data structures and data analysis tools for the Pythonprogramming language

Pandasprovides a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modeling, and visualization. Fields with widespread use of Pandas include: data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.

In this course, you'll learn how to use the pandas library and tools for data analysis and data structuring. Students will learn aboutDataFrames, basic plotting, indexing, and groupby. To help you learn how to work with data more effectively,

By the end of this course, students should have a good understanding of Pandas andgain proficiency using the Python Pandas library for data analysis.