Data Cleaning and Exploratory Data Analysis in Python - Part 1

This is part 1 of a 3 part series on data cleansing and exploratory data analysis in python. We will use Jupyter notebooks, pandas and the latest version of python to do a complete data science project from beginning to end. This way you can see how a data science project is structured and properly documented.

We use some pretty interesting and recent data for this video series - the international selfie deaths database. We will cleanse the data, identify and remove nulls, place it in time series format, etc. Then we will see how to properly visualize the data and derive useful insights from it. We will also show how to make the graphs and visuals look professional, draw conclusions, documenting, etc...

This is a must watch video for anyone considering the field of data science or wanting to just see and get a taste of what data scientists do. You will really like the insights we draw from this data - very interesting stuff. And the bast part is it contains all of the code used in an easy to follow manner!

Thank you for watching and God bless!