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Introduction to Financial Concepts in Python

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

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4 Stunden13 Videos50 Übungen23.342 LernendeTrophyLeistungsnachweis

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Kursbeschreibung

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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In den folgenden Tracks

Finanzgrundlagen in Python

Gehe zu Track
  1. 1

    The Time Value of Money

    Kostenlos

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

    Kapitel Jetzt Abspielen
    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
    Adjusting future values for inflation
    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.

    Kapitel Jetzt Abspielen
    A tale of two project proposals
    50 xp
    Project proposals and cash flows projections
    100 xp
    Internal Rate of Return
    100 xp
    Make a decision based on IRR
    50 xp
    The Weighted Average Cost of Capital
    50 xp
    Debt and equity financing
    100 xp
    Calculating WACC
    100 xp
    Comparing project NPV with IRR
    100 xp
    Comparing two projects of different life spans
    50 xp
    Two project with different lifespans
    100 xp
    Calculating IRR and NPV with different project lifespans
    100 xp
    Using the equivalent annual annuity approach
    100 xp
    Making a data-driven decision on projects of different lifespans
    50 xp
  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.

    Kapitel Jetzt Abspielen
    Mortgage basics
    50 xp
    Taking out a mortgage loan
    100 xp
    Calculating the monthly mortgage payment
    100 xp
    Amortization, interest and principal
    50 xp
    Calculating interest and principal payments
    100 xp
    Simulating periodic payments (I)
    100 xp
    Simulating periodic payments (II)
    100 xp
    Home ownership, equity and forecasting
    50 xp
    Cumulative payments and home equity
    100 xp
    Rising housing prices
    100 xp
    Falling housing prices and underwater mortgages
    100 xp
  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.

    Kapitel Jetzt Abspielen
    Budgeting project proposal
    50 xp
    Salary and taxes
    100 xp
    Monthly expenses and savings
    100 xp
    Forecast salary growth and cost of living
    100 xp
    Forecast growing expenses due to inflation
    100 xp
    Net worth and valuation in your personal financial life
    50 xp
    Calculate your net worth
    100 xp
    So you want to be a millionaire?
    100 xp
    Investing a percentage of your income (I)
    100 xp
    Investing a percentage of your income (II)
    100 xp
    The power of time and compound interest
    50 xp
    Investing over time
    50 xp
    Inflation-adjusted net worth
    100 xp
    Financial concepts in your daily life
    50 xp
Für Unternehmen

Trainierst du 2 oder mehr?

Verschaffen Sie Ihrem Team Zugriff auf die vollständige DataCamp-Plattform, einschließlich aller Funktionen.

In den folgenden Tracks

Finanzgrundlagen in Python

Gehe zu Track

Mitwirkende

Collaborator's avatar
Lore Dirick
Collaborator's avatar
Sumedh Panchadhar

Voraussetzungen

Intermediate Python for Finance
Dakota Wixom HeadshotDakota Wixom

Quantitative Analyst and Founder of QuantCourse.com

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