Learn the fundamental techniques for cleaning and preparing data for analysis and machine learning. This course covers identifying and handling common data quality issues, ensuring your data is accurate and ready for use.
Prerequisites Basic data concepts
Level:
Understand Data Quality
Recognize the importance of clean data and identify common types of data quality problems.
Handle Missing Data
Learn basic techniques to detect and address missing values in datasets.
Manage Duplicate Data
Identify and remove duplicate records from your data.
Correct Data Types
Understand different data types and how to convert columns to their appropriate format.
Basic Data Formatting
Apply simple formatting techniques for consistency.
Apply Basic Techniques
Use common tools (like Python libraries) to perform fundamental cleaning tasks.