- Apply basic data science techniques using Python
- Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib
- Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data
- Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization
