Level: Beginner — Author: Writix
Level: Beginner • Duration: 5 hours
Author: Writix
Unlock the potential of categorical data with our in-depth course on Working with Categorical Data in Python! This course is crucial for aspiring data scientists looking to excel in the manipulation and visualization of non-numerical data, such as blood types and marital statuses. Engage in practical exercises that will teach you how to use the pandas library to create, delete, and update categorical columns. You will also analyze real-world datasets, including details about adoptable dogs, reviews from trips to Las Vegas, and census information. Enroll now to elevate your data science skills and master categorical data like a professional!
Duration: 5 hours
XP Points: 350
Participants: 0
- Aspiring data scientists - Data analysts looking to enhance their skills - Students interested in data visualization - Professionals working with non-numerical data - Anyone wanting to learn about categorical data manipulation