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Introduction to Python for Finance

This course introduces Python for financial analysis.

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4 Hours14 Videos55 Exercises50,051 Learners4650 XPFinance Fundamentals Track

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Course Description

The financial industry uses Python extensively for quantitative analysis, ranging from understanding trading dynamics to risk management systems. This course will show you how to analyze your financial data by building your Python skills.

The first chapter explains how Python and finance go hand in hand. You will then learn Python basics such as printing output, performing calculations, understanding data types, and creating variables.

Next, you’ll cover lists and arrays in Python, exploring how you can use them to work with data. You’ll use the NumPy and Matplotlib packages to manipulate and visualize data.

Finally, you will finish the course by conducting a Python financial analysis on an S&P 100 dataset. Here, you will apply your Python skills to filter lists, summarize sector data, plot P/E ratios in histograms, visualize financial trends, and identify outliers.

By the end of the course, you will be confident in your basic Python skills and practical financial analysis skills. These skills are highly rewarded in the finance industry to solve quantitative finance problems. This course is part of our Finance Fundamentals in Python track which is perfect for those who wish to delve deeper into Python for finance.
  1. 1

    Welcome to Python

    Free

    This chapter is an introduction to basics in Python, including how to name variables and various data types in Python.

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    Welcome to Python for Finance!
    50 xp
    Why might you use Python in finance?
    50 xp
    Run code vs. submit answer
    100 xp
    Comments and variables
    50 xp
    Printing output
    100 xp
    Finding the average revenue
    100 xp
    Data types
    50 xp
    Creating variables
    100 xp
    Determining types
    100 xp
    Booleans in Python
    100 xp
    Combining data types
    100 xp

In the following tracks

Finance Fundamentals

Collaborators

sumedhpanchadhar
Sumedh Panchadhar
lore
Lore Dirick
eunkyungparkk
Eunkyung Park
Adina Howe Headshot

Adina Howe

Assistant Professor and Data Scientist

Adina is an Assistant Professor in the College of Engineering at Iowa State University (ISU) in Ames, Iowa. She teaches numerical methods, computational biology, and data science courses in the undergraduate and graduate programs. Her research focuses on using computational tools to help address global grand challenges, such as how to best manage our land and water resources. She loves dogs, board games, and using programming to solve problems that help people.
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