Level: Professional — Author: Writix
Level: Professional • Duration: 4 hours
Author: Writix
Are you frustrated with messy datasets? Join our in-depth course, 'Dealing with Missing Data in Python', where you'll conquer the challenges of missing values in both numerical and categorical datasets, including time-series data. Through engaging, hands-on exercises using real-world datasets like air quality and diabetes data, you will uncover the intricate patterns of missing data. Enroll now and transform your data cleaning skills to become a proficient data scientist!
Duration: 4 hours
XP Points: 350
Participants: 0
- Aspiring data scientists looking to enhance their skills - Data analysts seeking to improve their data cleaning techniques - Professionals managing large datasets in various industries - Students in data science or related fields - Anyone interested in mastering Python for data manipulation