Learn how to use data analytics in Python to derive insights from data.

Zero to Hero in Python for Data Science

This module will give us an introduction to Python-based data analytics. We will learn the inner workings of Python to the point where we can confidently find and manipulate data sources and use a Jupyter environment to derive insights from our data. By the end of this module, we will be able to find and clean data sources, plot datasets, and use Python functionalities to represent our data.

Data Analytics in Python (Projects)

## Solution
The Jupyter Notebook below contains the answers to your third challenge.

# Solution
The Jupyter Notebook below contains the answers to your third challenge.

This review explains the solution for the "Scatter plot" challenge.

Comparing Wages With Consumer Price Index Data

Wages and CPI: Reality Check

Working With Major US Storm Data

Property Rights and Economic Development

How Representative Is Your Government?

Does Wealth Influence The Prevalence Of Mental Illness?

Do Birthdays Make Elite Athletes?

Does Literacy Impact The Income of People

Conclusion

Solution Review — Scatter Plot

Solution