Learn about Python-based data analytics, discover data manipulation and cleaning techniques, explore Jupyter for insights, and gain skills to plot and visualize data effectively.

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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

## Visualization of data
Now that we have the birth months of nearly 1,100 current NHL players, let's see what it looks like in a histogram.

# Visualization of data
Now that we have the birth months of nearly 1,100 current NHL players, let's see what it looks like in a histogram.

Learn how to visualize the raw data of the National hockey league, what that visualization tells us about the data, and how to make sure that we are using the right tool.


How to Visualize the Raw Data

Learn how to visualize the raw data of the National hockey league, what that visualization tells us about the data, and how to make sure that we are using the right tool.

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

How to Visualize the Raw Data

Visualization of data