Working with Categorical Data in Python

Engineering and Technology

Short Description

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Long Description

Understanding, utilizing, and summarizing non-numerical data is an essential skill for data scientists. This course focuses on teaching you how to effectively manipulate and visualize categorical data using pandas and seaborn. Through practical exercises, you will gain proficiency in pandas' categorical data type, including creating, deleting, and updating categorical columns. Additionally, you will work with diverse datasets, such as adoptable dogs' characteristics, Las Vegas trip reviews, and census data, to enhance your ability to work with categorical data. By the end of this course, you will have developed valuable skills in handling and analyzing categorical data.

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Course Details

Duration: 4 hours
Difficulty: Beginner
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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