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)

Which code statement below will plot the following graph?

<img src="/udata/zO18YOXa1DB/image-072.png">

Which code statement below will plot the following graph?
<img src="/udata/zO18YOXa1DB/image-072.png">

What kind of distributions are histograms good at showing?

What kind of distributions are histograms good at showing?

Which is the best way to scrape the endpoint for each team’s roster?

Which is the best way to scrape the endpoint for each team’s roster?

6 to 10 months older than existing players

6 to 10 months younger than existing players

What criteria did we use to select the second half of the year players?

What criteria did we use to select the second half of the year players?

Attempt the quiz to test what you have learned in this chapter.

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

Quiz