Data Analysis with Jupyter and Pandas

Explore how to use Jupyter Notebooks and Pandas to perform data analysis
and make visualizations. The presentation will cover:

• Starting Juypyter Hub
  using `jupyter/datascience-notebook`
• Accessing Jupyter Hub and the basics of Jupyter Notebooks
• Loading data into a Pandas Dataframe from a CSV
• Summarizing, cleaning, filtering, and aggregating data
• Visualizing data with Matplotlib and Seaborn
• Creating Dataframes using SQL
• Committing your work and viewing on GitHub