Codeacademy Portfolio Project: US Medical Insurance Cost
Hi, my name is Chang-Joon and I am a data scientist in training.
This is a simple personal project designed to demonstrate my Python and Pandas knowledge and skills. Both versions perform data analysis using the US medical insurance cost dataset from Kaggle.
Version 2 only uses Python classes and custom functions without importing NumPy or Pandas modules, and only performs simple statistical analyses. This version was written when I was first learning Python on my own.
Version 3 incorporates NumPy, Pandas and Seaborn modules for more in-depth statistical analyses and detailed data visualisation. This version was written while undertaking an industry-accredited data science course offered by Auckland Institute of Technology and the Institute of Data.
Some of the analyses done may not be necessary in real-life situations, but were carried out as hypothetical cases to show my understanding and skillsets.
Please feel free to provide any feedbacks.
You can also connect with me via LinkedIn: | linkedin.com/in/chang-joon-lee |