Specs
Overview
In this course you will learn to use Python, the most popular programming language for data sciences, for data analysis and data visualization. Explore Python libraries to more easily sort and analyze data sets for emerging trends. Quickly produce Excel quality visualizations appropriate for displaying data in real time monitoring systems.
Objectives
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