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By Kevin McAleer, 3 Minutes
Welcome to the Data Manipulation with Pandas and NumPy course! In this course, you will explore how to handle and analyze data efficiently in Python using the powerful libraries Pandas and NumPy. You’ll learn about different data structures, how to manipulate and process data, and how to import/export data in various formats.
Data Manipulation with Pandas and NumPy
This course is divided into the following lessons:
After completing this course, you will be able to:
To follow along with this course, you will need:
Each lesson is structured to provide a comprehensive guide on different aspects of data manipulation with Pandas and NumPy. Concepts are explained in a step-by-step manner, accompanied by examples and practical exercises.
New terms and concepts are highlighted and explained in detail, like DataFrame and Series.
DataFrame
Series
Important tips and notes are provided in highlighted sections like below:
Pro Tip Useful tips and best practices are shared in sections like this
Useful tips and best practices are shared in sections like this
Caution Key points to be cautious about are highlighted in different colored sections
Key points to be cautious about are highlighted in different colored sections
This course is designed to be interactive and hands-on. We encourage you to practice the examples and exercises provided in each lesson. If you have any questions or need assistance, please reach out through the comments section or contact us directly. Let’s dive into the world of data manipulation with Python!
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