Data Wrangling (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 other seminars you do not need to have programming experience to attend this seminar.

Please register to get access to the seminar and optional pre-seminar materials.