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# Introduction to Financial Concepts in Python

Using Python and NumPy, learn the most fundamental financial concepts.

4 hours13 videos50 exercises

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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.

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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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Fundamental financial concepts
50 xp
Growth and rate of return
100 xp
Compound interest
100 xp
Discount factors and depreciation
100 xp
Present and future value
50 xp
Present value
100 xp
Future value
100 xp
100 xp
Net present value and cash flows
50 xp
Discounting cash flows
100 xp
Initial project costs
100 xp
Diminishing cash flows
100 xp
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.

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.

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.

### In the following Tracks

#### Finance Fundamentals in Python

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collaborators

prerequisites

Intermediate Python for Finance
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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