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

## Looking at the final graph

Now let’s look at those anomalies. Let's take another look at our final line graph:

# Looking at the final graph

Now let’s look at those anomalies. Let's take another look at our final line graph:

Learn how to establish a historical context for data and find out the solution using BLS housing in U.S. cities.

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

Establish a Historical Context for Your Data

Looking at the final graph