HomeCoursesEffective Data Manipulation with pandas

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Effective Data Manipulation with pandas

Learn effective data manipulation with pandas. Discover filtering, merging, grouping, and reshaping techniques through hands-on examples, best practices, and performance tips for real-world analysis.

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Overview

Content

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The course is a comprehensive guide to using pandas for data analysis. It covers a wide range of topics related to data manipulation, including filtering, merging, grouping, pivoting, and reshaping data. In this course, you’ll learn about the best practices and efficient techniques for working with data. You’ll be provided with numerous examples of real-world data analysis problems and gain hands-on experience with the pandas library to solve them effectively. This course will also cover performance considerations and provide insights on common pitfalls to avoid when using pandas. The course is suitable for both beginners and experienced users of pandas. It includes detailed explanations of pandas concepts and functions, as well as tips and tricks for optimizing your code. By the time you’re done with this course, you’ll be able to effectively handle data using pandas.

The course is a comprehensive guide to using pandas for data analysis. It covers a wide range of topics related to data manipula...Show More

WHAT YOU'LL LEARN

An understanding of efficient data manipulation techniques for working with data in pandas

Working knowledge of different techniques for handling missing data in pandas

The ability to reshape and pivot data

Hands-on experience of the best practices for working with pandas

An understanding of efficient data manipulation techniques for working with data in pandas

Content

89 Lessons17 Quizzes4 Challenges

Introduction

10 Lessons

Get familiar with pandas data structures for efficient data manipulation in Python.

Similarities in pandas and NumPy

Categorical Data in pandas

Exercise: Series in pandas

Solution: Series in pandas

Summary

Quiz: pandas Series

Series Deep Dive

27 Lessons

Unpack the core of pandas Series manipulation, covering attributes, operations, and data cleaning.

DataFrames

29 Lessons

Examine building, manipulating, and visualizing DataFrames in pandas for effective data analysis.

Manipulating Data

21 Lessons

Grasp the fundamentals of manipulating and reshaping data, handling time series, joins, and exporting formats.

Wrapping Up

1 Lessons

Explore continuous improvement in data analysis, from understanding data to engaging in real-world projects.

Conclusion

Appendix

1 Lessons

Follow the process of installing and setting up pandas for Python projects.

Installation

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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