Skip to main content

Introduction to Python for Finance

16 reviews

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

Start Course for Free
4 Hours14 Videos55 Exercises
63,539 LearnersTrophyStatement of Accomplishment

Create Your Free Account



By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Course Description

Learn the Fundamentals of Python for Finance

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.

Manipulate and Visualize Data with Python Packages

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.

Perform Financial Analysis Using Python

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


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

    Play Chapter Now
    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 in Python


Collaborator's avatar
Lore Dirick
Collaborator's avatar
Eunkyung Park
Collaborator's avatar
Sumedh Panchadhar
Adina Howe HeadshotAdina 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.
See More

Don’t just take our word for it

from 16 reviews
Sort by
  • Oriol O.
    7 days

    A great beginning course

  • elio P.
    about 2 months

    Amazing introspection course!

  • Karl-Erik T.
    about 2 months

    A good, smooth, hands-on introductory course.

  • Ana U.
    2 months

    This course is amazing. The course gives an strong foundation for Python learners not only in Finance but also for any other fields. I would highly recommend to anyone who is starting coding in Python. I wish I had such an amazing instructor and an extraordinary course design when I started to learn Python. I give this course a 5+ starts.

  • Sue D.
    2 months

    The course is very interesting and the instructor is awesome!

"A great beginning course"

Oriol O.

"Amazing introspection course!"

elio P.

"A good, smooth, hands-on introductory course."

Karl-Erik T.


Join over 12 million learners and start Introduction to Python for Finance today!

Create Your Free Account



By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.