Data Science in Python Fundamentals – module 5

Module 5: Pandas

• Series
• DataFrame
• Indexing
• Sorting
• Aggregations

Hands-on Lab: Getting some experience in declaring and working with Series and DataFrames, reading DataFrames from real files, converting numpy arrays to Series and back, Indexing by boolean indexes

• GroupBy
• Missing Data
• Merging and Joining
• Concatenation
• Visualization

Hands-on Lab: Learning different basic methods of data cleaning and preprocessing. Getting some statistical measurements of the data. Trying to correlate data from multiple DataFrames