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)

What kind of request rates does a BLS API key unlock?


What kind of request rates does a BLS API key unlock?

Which command is the BLS endpoint for the wages and salaries data series from the `bls` library?

Which command is the BLS endpoint for the wages and salaries data series from the <code>bls</code> library?

Which Python method can be used to overcome serious formatting problems with the CPI data?

Which Python method can be used to overcome serious formatting problems with the CPI data?

Which option below is the script to merge two data frames, `df1` and `df2`?

Which option below is the script to merge two data frames, <code>df1</code> and <code>df2</code>?

Which symbol below is used in the `str.contains` method?

Which symbol below is used in the <code>str.contains</code> method?

**(True or False)** An API is an authentication check for preventing unauthorized access to web-facing resources.

(True or False) An API is an authentication check for preventing unauthorized access to web-facing resources.

Which word below is defined as "the web address used by public-facing data resources?"

Which word below is defined as “the web address used by public-facing data resources?”

Which option below will _not_ display at least some of the contents of a data frame named `df`?

Which option below will not display at least some of the contents of a data frame named <code>df</code>?

**(True or False)** The code below reads the contents of the cpi_data.csv file into a data frame.

```
df = pd.read_csv('cpi_data.csv')
```


(True or False) The code below reads the contents of the cpi_data.csv file into a data frame.
<pre><code>df = pd.read_csv('cpi_data.csv')
</code></pre>

It overrides any occurrence of either `-03` or `Q1` with the string `Date`.

It replaces any occurrence in the `Date` column of `-03` with `Q1`.

It drops the entire `Date` column if either of those strings is present.

It does nothing because `cpi_data` is not a valid Python method.


Which below best describes the effect of the following code?
```
cpi_data['Date'] = cpi_data['Date'].str.replace('-03', 'Q1')
```

Which below best describes the effect of the following code?
<pre><code>cpi_data['Date'] = cpi_data['Date'].str.replace('-03', 'Q1')
</code></pre>

CPI and BLS Quiz

CPI and BLS Quiz

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