This is a great course for those interested in entry-level data science positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data.
At the end of the class, students should be able to:
- Programmatically extract data stored in common formats such as csv, Microsoft Excel, JSON, XML and scrape web sites to parse data from HTML.
- Audit data for quality (validity, accuracy, completeness, consistency, and uniformity) and critically assess options for cleaning data in different contexts.
- Store, retrieve, and analyze data using MongoDB.
This course concludes with a final project where students incorporate what they have learned to address a real-world data analysis problem.