Python for Data Analysis and Visualization (Online)

Tired of Excel and its limited capabilities? Want to learn how to turn Python into a powerful data analysis and visualization tool by utilizing the popular Pandas library? Come and embark on a 90-minute journey that will set you on the path to becoming a true data scientist. We will work hands-on with real datasets and cover the following:

• JupyterLab interactive notebook environment
• Python package management using conda and pip
• Importing Python packages and common aliases
• Why you might want to use a virtual environment
• Reading and writing different datasets
• Good data management practices
• Cleaning, grouping, filtering, and analyzing data
• Converting between long and wide data formats
• Visualizing data with Matplotlib and Seaborn
• Interactive and animated data visualizations

Basic familiarity with Python is assumed. If you have never used Python before, you are highly encouraged to attend an introductory Python workshop or work through an introductory Python tutorial beforehand. Kaggle for example has an interactive introductory Python tutorial that covers all the necessary prerequisites: https://www.kaggle.com/learn/python   The workshop does not require the installation of any software. The necessary software will be made available via an online cloud-computing interface.