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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Jupyter.tar.gz

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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

Which option below is a single number that neatly and reliably summarizes the state of the global equity investment environment over time?

Which option below is a single number that neatly and reliably summarizes the state of the global equity investment environment over time?

What is the relationship between correlation and causation?

What is the relationship between correlation and causation?

**(True or False)** The code `housing.to_csv('housing_index.csv')` will successfully write a data frame to a CSV file.

(True or False) The code <code>housing.to_csv('housing_index.csv')</code> will successfully write a data frame to a CSV file.

Which of the following is a tool for converting data into a usable data format?

Which of the following is a tool for converting data into a usable data format?

Which of the following can be used to discard all but a specified string in the specified column of a data frame?

Which of the following can be used to discard all but a specified string in the specified column of a data frame?

**(True or False)** The code `pd.merge(newcpi_data, newwages_data, on='Date')` will successfully merge multiple data frames into one.

(True or False) The code <code>pd.merge(newcpi_data, newwages_data, on='Date')</code> will successfully merge multiple data frames into one.

Which of these will define your graph's y-axis label when using matplotlib?

Which of these will define your graph’s y-axis label when using matplotlib?

Reality check quiz

Reality check quiz

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

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

Quiz