This repository holds almost every files to complete the 9 courses IBM Data Science Professional Certificate from IBM on Coursera platform.
The ones missing are hosted in the IBM Watson service, when requested from professors. Unless specific files are set up, IBM Watson platform is private.

This readme file is intended to be a portal for the key files / projects. However, most topics are formed as jupyter notebooks pre-constructed by professors and completed by the student, with embedded exercises, even for the course final project. In that scenario, from courses 1 to 8 they're not such interesting files to share to outsiders, except a few.

Nonetheless, for the dedicated people, each jupyter notebook can be nicely rendered with nbviewer, even if Github do a pretty good job to display jupyter notebooks.

In order of appearance, linked to the data science workflow:

• Course: Machine Learning with Python, n°8
  - Github: 8-Machine_Learning_with_Python
  - Final project IBM Watson notebook: ML Assignment - Final Project
  - Topics: Modeling, Machine Learning

• Course: Capstone Project, n°9
  - Github: 9-Capstone_Project
  - Final project Github with complete data analysis on Readme
  - Associated data science work on Jupyter Notebook (nbviewer form)
  - Project overview slides deck
  - Topics: Get and Cleaning data, Exploratory Data Analysis, GEOJson data, Maps, Dataviz, Modelling, Machine Learning, Data analysis