The Data Scientist’s Handbook
Published:
Timeline: May 2026 - June 2026
Project Description: An open reference built around five questions every data project asks: what kind of data is this, where does it come from, how do industries shape it, how do I clean it, and how do I show it. It has more than 60 chapters with short summaries and decision tables, plus Jupyter notebooks that walk through cleaning and visualisation with pandas, matplotlib, seaborn and plotly.
Project Github Link: data-scientists-handbook