Leonard N. Stern School of Business: Technology
The volume of data generated every day continues to grow exponentially. We capture and store data about pretty much every aspect of our lives. Being able to fetch, store, query, analyze, and visualize data is now a fundamental skill for everyone. This class is designed for students who want to learn to handle data programmatically, without being software engineers. The emphasis will be on acquiring, processing, and presenting data analysis results. The course will be hands-on, and we will focus on using Python in class for data handling and analysis tasks, emphasizing exploratory data analysis and visualization. We will be using Jupyter/iPython notebooks heavily: Notebooks are interactive documents, accessible from your browser, which combine text, code, and figures, and are often used to present the process and results of data analysis. This course is the second half of the traditional 3cr. version of Dealing with Data (TECH-GB 2346). Students who took TECH-GB 2346 should not take this course.