This course is all about learning to use python and jupyter notebooks by exploring fun, real-world data projects.

teach yourself data analytics in 30 days.png

Jupyter.tar.gz

jupitor

code

In this course, you will get an introduction to Python-based data analytics. You will learn the inner workings of Python to the point where you can confidently find and manipulate data sources and use a Jupyter environment to derive insights from your data.

By the end of this course, you will be able to find and clean data sources, plot your data, and use Python functionalities that show graphs of data.

It’s your all-in-one guide to teaching yourself data analytics in 30 days.

Data Analytics in Python

## Get the data
You can get up-to-date GDP data by country from many
sources. We’ll want our data broken down to the per capita level
because that’s the best way to get valuable apples-to-apples
comparisons between countries of different sizes.


# Get the data
You can get up-to-date GDP data by country from many
sources. We’ll want our data broken down to the per capita level
because that’s the best way to get valuable apples-to-apples
comparisons between countries of different sizes.


Learn how to get data from different sources and use Jupyter notebook to run python scripts to get data and how to visualize datasets using scatter plots.

Before We Begin

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

Appendix

Getting the Data and Visualizing Datasets Using Scatter Plots

Get the data