Introduction to Financial Concepts in Python

Using Python and NumPy, learn the most fundamental financial concepts.
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4 Hours13 Videos50 Exercises13,196 Learners
4200 XP

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Course Description

Understanding the basic principles of finance is essential for making important financial decisions ranging from taking out a student loan to constructing an investment portfolio. Combining basic financial knowledge with Python will allow you to construct some very powerful tools. You'll come out of this course understanding the time value of money, how to compare potential projects and how to make rational, data-driven financial decisions.

  1. 1

    The Time Value of Money

    Free
    Learn about fundamental financial concepts like the time value of money, growth and rate of return, discount factors, depreciation, and inflation.
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  2. 2

    Making Data-Driven Financial Decisions

    In this chapter, you will act as the CEO of a company, making important data-driven financial decisions about projects and financing using measures such as IRR and NPV.
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  3. 3

    Simulating a Mortgage Loan

    You just got married, and you're looking for a new home in Hoboken, New Jersey. You will build a mortgage payment simulator to estimate your mortgage payments and analyze different possible economic scenarios.
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  4. 4

    Budgeting Application

    You just got a new job as a data scientist in San Francisco, and you're looking for an apartment. In this chapter, you'll be building your own budgeting application to plan out your financial future.
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In the following tracks
Finance Fundamentals
Collaborators
Sumedh PanchadharLore Dirick
Dakota Wixom Headshot

Dakota Wixom

Quantitative Analyst and Founder of QuantCourse.com
Dakota Wixom is a quantitative finance analyst at Yewno, where he applies AI to create innovative financial products. Dakota founded QuantCourse.com and has also worked in quantitative risk management and investment banking roles in New York City and San Francisco. He has a B.S. in Quantitative Finance and a M.S. in Financial Analytics from the Stevens Institute of Technology.
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