This month’s Data Science club meeting is based on some basic programming and structured to follow alongside the Python Data Science Handbook. Catch up on previous work by skimming chapter 2 in the Handbook and going over what we covered last time in this notebook here. You should be comfortable working with tabular data for this meeting.
It's estimated that 80% of data analysis is spent on the process of cleaning and preparing the data, so we will practice data preprocessing using the most efficient techniques in Python. We will cover chapter 3 "Data Manipulation with Pandas", which we will use to clean datasets, fill in missing data, and turn messy datasets into tidy ones. We will see how that clean datasets are best for visualization and analysis.
This is the virtual meeting link of the Data Science Club based out of theClubhou.se. The purpose of the group is to delve into data science using Python. The group usually meets on the first Thursday of every month.