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What you'll learn

Understanding and utilizing the ndarray from the NumPy library.

Exploring the Series and DataFrame structures in the Pandas library.

Practical applications of advanced data structures in data analysis and manipulation.

Skills you'll gain

Data Analysis

Pandas (Python Package)

Data Import/Export

NumPy

Statistical Methods

Data Cleansing

Data Structures

Exploratory Data Analysis

Data Manipulation

There are 5 modules in this course

This course delves into advanced data structures in Python, focusing on the powerful capabilities of the NumPy and Pandas libraries. It introduces the ndarray, a multidimensional array object provided by NumPy, enabling efficient storage and manipulation of large datasets. Additionally, learners will explore the Series and DataFrame structures offered by Pandas, which facilitate data analysis and manipulation in a more user-friendly manner. Throughout the course, students will engage in practical exercises and case studies to reinforce their understanding of how these advanced data structures can be applied in real-world scenarios.

NumPy

Series

DataFrame

Pandas