Taught by: Dr. Esperanza Huerta
Data wrangling is a crucial step in data analytics; it has been estimated that 80% of the work in data science involves data cleaning and similar preparatory activities, known as data wrangling. Before you conduct any analysis, you need to get a hold of your data, and make sure your data is accurate and formatted as needed for analysis. This session is primarily hands-on, but it includes conceptual explanations on data types, problems of raw data, and data transformations. We will use pandas, a Python package. As with other seminars, you do not need to have programming experience to attend this seminar.