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 will display only the number of columns and rows in the data frame `df`?

Which code will display only the number of columns and rows in the data frame <code>df</code>?

Which data frame is used to pull data?

**(True or False)** The `read_html` tool will scrape tables of data directly from HTML pages

(True or False) The <code>read_html</code> tool will scrape tables of data directly from HTML pages

Which of the following commands results in calling an existing function `vote`?

Which of the following commands results in calling an existing function <code>vote</code>?

```
if total_votes_yea>1 and total_votes_nay>1:

```
if total_votes_yea>0 and total_votes_nay>0:

```
if total_votes_yea>0 and total_votes_nay<1:

```
if total_votes_yea>-1 and total_votes_nay>-1:

Which of the following will test for the presence of at least `1` positive result in each variable?

Which of the following will test for the presence of at least <code>1</code> positive result in each variable?

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