This course is a slightly more advanced introduction to wrangling data using Python in Jupyter Notebooks. You will learn how to load different types of data sets in Jupyter Notebooks and write code to display the data either specifically r=or as a summary where the student can get a feel of what do to for the next step to gauge what subsequent downstream data visualization are proper to uses for subsequent analysis of such data visualization.
At the end of this courses, you will be able to:
- Insert comma separated value (CVS) and Excel files into Jupyter notebooks
- Write basic code to organize and clean the data
- Gauge what type of Data Visualization will be employed to make sense of the data based on a given criteria
Requirements:
- Computer with at least Window 10
- Download latest version of Python 3.90
- Download Jupyter Notebooks
Tutor: John Griner