Intro to data science using Python libraries, including:

• Use pandas and numpy to identify trends within datasets

• Create rich visualizations with matplotlib and visual applications with folium

• Use open source toolset scipy for mathematics, science, and engineering applications

• Sourcing data sets, including pulling data from APIs, and cleaning data for training

• Introduction to scikit-learn, a machine learning tool for datasets

• Making predictions

• AI LLM prompt engineering for Python snippets and jumpstarting solutions