Data Cleaning and Preprocessing
is a crucial step in extracting valuable insights from datasets. This course is designed for data analysts and scientists who want to master the skills required to clean and preprocess data effectively.
By the end of this course, learners will be able to identify and correct errors in datasets, handle missing values, and perform data transformation and feature engineering.
Some key concepts covered in the course include data quality assessment, data normalization, and data visualization techniques.
Whether you're working with large datasets or small ones, understanding data cleaning and preprocessing is essential for producing accurate results.
Take the first step towards becoming a proficient data analyst by exploring our Advanced Skill Certificate in Data Cleaning and Preprocessing course today!