MSDA 6337 Practical Data Wrangling, Visualization, and Analysis
Practical Data Wrangling, Visualization, and Analysis prepares students to collect, manage, and unify complex data from multiple sources for the purpose of improved data informed decision making. The course begins with an overview of data collection, cleaning, and preparation tactics utilized to transform raw data into structures more amenable to decision-oriented analyses with special emphasis on the interpretation and presentation of descriptive and inferential statistical results. This course goes beyond practical data wrangling to include data mining techniques, data visualization best practices, relational and nonrelational database management, sentiment analysis using natural language processing, and API-based website scraping. Finally, how to communicate the results of data analysis projects to firm stakeholders will be covered.
Offered
Summer, Fall, Spring