intermediate Python • basics of statistics (regression analysis) • basics of NumPy and pandas
skills learned
reading, cleaning, and merging data with pandas • exploring data for trends and distributions • doing data visualizations with Matplotlib and Seaborn
In this liveProject, you’ll use the Python data ecosystem to explore how demographic data affects American life expectancy. You’ll use pandas and NumPy to clean and merge a newly collected data set Matplotlib, and seaborn to create a variety of plots that showcase the distribution of the data and expose the relationships between the variables.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
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project author
Monica Guimaraes
Monica Guimaraes has more than fifteen years of experience organizing and teaching undergraduate courses in automata theory, numerical analysis, programming languages, and statistics. Her passion for artificial intelligence goes back to her college years, having done her thesis in automatic-theorem-proving and working later as an AI researcher. She also has extensive experience in software development in corporations.
prerequisites
This liveProject is for confident Python programmers. To begin this liveProject you will need to be familiar with:
TOOLS
Intermediate Python
Basics of pandas
Basics of NumPy
Basic Jupyter Notebook
TECHNIQUES
Basics of Python data analysis
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