Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one “raw” data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. A data wrangler is a person who performs these transformation operations.
In this class we will use two main tools for “Data Wrangling” KNIME and Pandas
Pandas is a python library. It allows us to manipulate data programatically. Then we can apply other tool sets (like the plotting library matplotlib or the machine learning libary scikitlearn) downstream.
KNIME allows us to perform most data wrangling operations using visual programming. Visualization and Machine learning can also be done with other nodes downstream.
Learning a bit about both will increase your options in the future. You should learn enough about each that in the future, jobs and further studies with either, are an option.