Data Wrangling and Visualization

3 credits · Engineering Professional

Students will leverage Python as an essential tool to query, clean, manipulate, and visualize data. The Python package 'pandas' provide a powerful way of organizing data values within a dataset. In addition to the data cleaning and transformation tasks, which represents a substantial portion of data scientists' time, the course deals with databases and web scraping. Students will learn how to connect to standard relational databases (MySQL, NoSQL) and to scrape unstructured (text) data from the web and query APIs. The course will also focus on using visualization before the data preprocessing to identify problems to tackle and after the preprocessing to recognize meaningful insights.