Pandas is a very popular Python library that provides powerful, flexible and high-performance tools to process data.
If you’re looking to get into data science, machine learning, or you just want to brush up on your analytics skills, then look no further. In this course, you’ll learn how to process and analyze data with Pandas.
You’ll start out by covering the basic data structures in Pandas: Series and dataframes. In the latter half of the course, you’ll learn how to perform operations on different data structures, and how to optimize performance for file uploads, data filtering, and more.
Pandas is a very popular Python library that provides powerful, flexible and high-performance tools to process data.
If you’re ...Show More
Content
1.
Introduction
9 Lessons
Get familiar with creating and manipulating Series and DataFrames in Pandas.
2.
Basic Operations on DataFrames
18 Lessons
Get started with indexing, manipulating, and analyzing DataFrames using various pandas methods.
Indexing and SlicingDescriptionChallenge - Overall Description of the DataChallenge Solution ReviewConcatenationGrouping Data __ Part 1Grouping Data __ Part 2Deletion in a DataFrameSelect Data From DataFrameMerging in a DataFrameChallenge - Group by a Single Column and AnalyzeChallenge Solution ReviewSorting a DataFrameApply Function to a DataFrameIteration Data in DataFrameChallenge - Find the Most Popular ItemChallenge Solution ReviewQuiz
3.
Other topics
11 Lessons
Work your way through managing missing values, exporting data, converting types, and handling duplicates.
4.
Improve performance
4 Lessons
Apply your skills to optimize file loading, reduce memory usage, and speed up operations in Pandas.
Certificate of Completion
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