Data Foundations. (3-0) 3 Credit Hours

Catalog description

The ability to understand, store, process, transform, cleanse, fuse, and share data is critical to data analytics; and it can often be the most challenging and/or most time consuming part of the data analytics process due to the vast variety of data sources, types, and formats. This course equips students to collect/process common types of data used in data analytics, and provides them a solid understanding of various data sources, types, and formats, and how to handle and process each. Students will learn how to wrangle and preprocess structured and unstructured data, to include multidimensional data, textual data that requires natural language processing (NLP) and web-based data. Students will also learn web scraping, web crawling, and how to collect data via web-based application programming interfaces (APis). Students will learn all of these topics using common Python data analytics and data science packages. Students will have the opportunity to learn how to store, process, transform, cleanse, fuse, and share data. Exemplar data will be used extensively in the course so that students see and experience a wide variety of data and understand how to process and handle it. Data handling exercises will be provided in the context of scenario based problems to further improve their educational knowledge, practical skill set, and contextual understanding. This course has Differential Tuition. Course Fees: ISCS $75.