Work through eight data stories that explore some fascinating topics like:
- Do strong property rights translate to greater economic development?
- What can we learn about representative government from parliamentary voting patterns?
- Is the success of elite athletes a product of their birthdates?
The stories are interesting on their own. But there’s no doubt what they’re really all about is Python data analytics. Each story/chapter contains all the information you would need to go out and get the raw data and then write the Python code necessary to solve a specific problem. Or, in other words, each chapter teaches new Python skills in the context of a real-world scenario.
If you’re motivated and have a bit of available time, I think you can use those stories to teach yourself data analytics in 30 days.
Either way, you’ll find everything you need to build your own basic data analytics skills, including:
- Getting Python up and running on Jupyter Notebooks (or JupyterLab, if you prefer)
- Finding and cleaning data sources
- Plotting your data
- Python functions
- Understanding results through domain knowledge and tools like regression lines
Questions? Be in touch.