Data Manipulation and Management

3 units

As the base of data science, data needs to be acquired, integrated and preprocessed. This important step in the data science workflow ensures both quantity and quality of data and improves the effectiveness of the following steps of data processing. Students will gain an understanding of concepts and approaches of data acquisition and governance including data shaping, information extraction, information integration, data reduction and compression, data transformation as well as data cleaning. The course will further highlight the ethical responsibility of protecting the integrity of data and proper use of data.