Python Pandas is the focus of this course, where you'll dive into the powerful and widely used library for data manipulation and analysis in Python. You'll start with an introduction to the Pandas Series data structure, followed by an exploration of DataFrames, two-dimensional labeled data structures. The course covers various DataFrame methods and operations, such as data cleaning, merging, and reshaping, which are essential for working with data in a DataFrame. Additionally, you'll learn about selecting and indexing operations to access, manipulate, and analyze data. Lastly, you'll gain an understanding of Pandas aggregation operations to summarize and group data in a DataFrame. By the end of this course, you'll have the necessary skills to use Python Pandas to solve real-world problems related to data manipulation and analysis. Check out our PG Course in Machine learning Today.

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